工作流 /
图像 /
H3 Minimax Multi-character swap (1-4)
H3 Minimax Multi-character swap (1-4)
H3 Minimax Multi-character swap (1-4)
A workflow for swapping characters using Minimax H3.A single go, swap 1 to 4 characters.How to useWorker nodesWorker nodes. They do the logic, comparison and prompt creations.ModelsSelect your main clip, diffusion model …
图像
39 个节点 499 次使用 yorgash 183 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
H3 Replacer v1.3.json
模型库暂未收录
节点构成
PrimitiveStringMultiline
× 6
Note
× 6
LoadImage
× 5
PreviewAny
× 5
CLIPLoader
× 2
UNETLoader
× 1
RandomNoise
× 1
BasicGuider
× 1
KSamplerSelect
× 1
BasicScheduler
× 1
VAELoader
× 1
SamplerCustomAdvanced
× 1
VAEDecode
× 1
MiniMaxH3ReferenceToVideo
× 1
ImageFromBatch
× 1
SaveImage
× 1
官方标注的模型
Minimax-h3_Singularity_ref2va_Pruned_v1.3_int8.safetensorsminimax_h3_ref2va_pruned_int8_convrot.safetensorsminimax_h3_video_vae_fp16.safetensorsqwen3vl_32b_minimax_h3_int8_convrot.safetensorsqwen3vl_32b_minimax_h3_nvfp4_awq.safetensorsqwen3vl_8b_int8_convrot.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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978 {
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1672 ]
1673 }
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1780 "ver": "0.43.0",
1781 "Node name for S&R": "PrimitiveStringMultiline"
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1826 }
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1872 "name": "STRING",
1873 "type": "STRING",
1874 "links": [
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1877 }
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1879 "title": "Describe <Character 4>",
1880 "properties": {
1881 "cnr_id": "comfy-core",
1882 "ver": "0.43.0",
1883 "Node name for S&R": "PrimitiveStringMultiline"
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1920 },
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1944 },
1945 {
1946 "localized_name": "input",
1947 "name": "input",
1948 "type": "IMAGE,MASK",
1949 "link": 637
1950 },
1951 {
1952 "localized_name": "megapixels",
1953 "name": "resize_type.megapixels",
1954 "type": "FLOAT",
1955 "link": 724
1956 },
1957 {
1958 "localized_name": "input_1",
1959 "name": "input_1",
1960 "type": "IMAGE,MASK",
1961 "link": 639
1962 },
1963 {
1964 "localized_name": "input_2",
1965 "name": "input_2",
1966 "type": "IMAGE,MASK",
1967 "link": 640
1968 },
1969 {
1970 "localized_name": "string_b_3",
1971 "name": "string_b_3",
1972 "type": "STRING",
1973 "widget": {
1974 "name": "string_b_3"
1975 },
1976 "link": 641
1977 },
1978 {
1979 "localized_name": "string_b_4",
1980 "name": "string_b_4",
1981 "type": "STRING",
1982 "widget": {
1983 "name": "string_b_4"
1984 },
1985 "link": 642
1986 },
1987 {
1988 "localized_name": "input_3",
1989 "name": "input_3",
1990 "type": "IMAGE,MASK",
1991 "link": 643
1992 },
1993 {
1994 "localized_name": "string_a",
1995 "name": "string_a",
1996 "type": "STRING",
1997 "widget": {
1998 "name": "string_a"
1999 },
2000 "link": 723
2001 }
2002 ],
2003 "outputs": [
2004 {
2005 "localized_name": "output",
2006 "name": "output",
2007 "type": "IMAGE",
2008 "links": [
2009 645
2010 ]
2011 },
2012 {
2013 "localized_name": "output_1",
2014 "name": "output_1",
2015 "type": "IMAGE",
2016 "links": [
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2018 ]
2019 },
2020 {
2021 "localized_name": "output_2",
2022 "name": "output_2",
2023 "type": "IMAGE",
2024 "links": [
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2026 ]
2027 },
2028 {
2029 "localized_name": "output_3",
2030 "name": "output_3",
2031 "type": "STRING",
2032 "links": [
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2034 ]
2035 },
2036 {
2037 "localized_name": "output_4",
2038 "name": "output_4",
2039 "type": "IMAGE",
2040 "links": [
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2042 ]
2043 }
2044 ],
2045 "properties": {
2046 "cnr_id": "comfy-core",
2047 "ver": "0.43.0",
2048 "previewExposures": []
2049 },
2050 "widgets_values": [
2051 "",
2052 "",
2053 "",
2054 "",
2055 "",
2056 "1"
2057 ],
2058 "widgets_values_named": {
2059 "string_b": "",
2060 "string_b_1": "",
2061 "string_b_2": "",
2062 "string_b_3": "",
2063 "string_b_4": "",
2064 "string_a": "1"
2065 },
2066 "color": "#222",
2067 "bgcolor": "#000",
2068 "shape": 1
2069 },
2070 {
2071 "id": 303,
2072 "type": "322308dc-b627-4b6b-a674-cdf10b6a4dd7",
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2077 "size": [
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2079 490
2080 ],
2081 "flags": {
2082 "collapsed": false
2083 },
2084 "order": 37,
2085 "mode": 0,
2086 "inputs": [
2087 {
2088 "localized_name": "replace",
2089 "name": "replace",
2090 "type": "STRING",
2091 "widget": {
2092 "name": "replace"
2093 },
2094 "link": 688
2095 },
2096 {
2097 "localized_name": "replace_1",
2098 "name": "replace_1",
2099 "type": "STRING",
2100 "widget": {
2101 "name": "replace_1"
2102 },
2103 "link": 651
2104 },
2105 {
2106 "localized_name": "replace_2",
2107 "name": "replace_2",
2108 "type": "STRING",
2109 "widget": {
2110 "name": "replace_2"
2111 },
2112 "link": 652
2113 },
2114 {
2115 "localized_name": "replace_3",
2116 "name": "replace_3",
2117 "type": "STRING",
2118 "widget": {
2119 "name": "replace_3"
2120 },
2121 "link": 653
2122 },
2123 {
2124 "localized_name": "clip",
2125 "name": "clip",
2126 "type": "CLIP",
2127 "link": 654
2128 },
2129 {
2130 "localized_name": "image",
2131 "name": "image",
2132 "shape": 7,
2133 "type": "IMAGE",
2134 "link": 655
2135 },
2136 {
2137 "localized_name": "replace_4",
2138 "name": "replace_4",
2139 "type": "STRING",
2140 "widget": {
2141 "name": "replace_4"
2142 },
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2144 },
2145 {
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2147 "name": "string_b",
2148 "type": "STRING",
2149 "widget": {
2150 "name": "string_b"
2151 },
2152 "link": 657
2153 },
2154 {
2155 "localized_name": "image_1",
2156 "name": "image_1",
2157 "type": "IMAGE",
2158 "link": 721
2159 }
2160 ],
2161 "outputs": [
2162 {
2163 "localized_name": "STRING",
2164 "name": "STRING",
2165 "type": "STRING",
2166 "links": [
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2168 ]
2169 },
2170 {
2171 "localized_name": "generated_text",
2172 "name": "generated_text",
2173 "type": "STRING",
2174 "links": [
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2176 ]
2177 },
2178 {
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2180 "name": "generated_text_1",
2181 "type": "STRING",
2182 "links": [
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2184 ]
2185 },
2186 {
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2188 "name": "generated_text_2",
2189 "type": "STRING",
2190 "links": [
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2192 ]
2193 },
2194 {
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2196 "name": "LATENT",
2197 "type": "LATENT",
2198 "links": [
2199 663
2200 ]
2201 },
2202 {
2203 "localized_name": "width",
2204 "name": "width",
2205 "type": "INT",
2206 "links": [
2207 664
2208 ]
2209 },
2210 {
2211 "localized_name": "height",
2212 "name": "height",
2213 "type": "INT",
2214 "links": [
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2216 ]
2217 }
2218 ],
2219 "properties": {
2220 "cnr_id": "comfy-core",
2221 "ver": "0.43.0",
2222 "previewExposures": []
2223 },
2224 "widgets_values": [
2225 "",
2226 "",
2227 "",
2228 "",
2229 "",
2230 ""
2231 ],
2232 "widgets_values_named": {
2233 "replace": "",
2234 "replace_1": "",
2235 "replace_2": "",
2236 "replace_3": "",
2237 "replace_4": "",
2238 "string_b": ""
2239 },
2240 "color": "#222",
2241 "bgcolor": "#000",
2242 "shape": 1
2243 },
2244 {
2245 "id": 328,
2246 "type": "0c030ea5-a85a-4bec-b355-a572b0fa7d4f",
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2251 "size": [
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2253 470
2254 ],
2255 "flags": [],
2256 "order": 38,
2257 "mode": 0,
2258 "inputs": [
2259 {
2260 "localized_name": "width",
2261 "name": "width",
2262 "type": "INT",
2263 "widget": {
2264 "name": "width"
2265 },
2266 "link": null
2267 },
2268 {
2269 "localized_name": "height",
2270 "name": "height",
2271 "type": "INT",
2272 "widget": {
2273 "name": "height"
2274 },
2275 "link": null
2276 },
2277 {
2278 "localized_name": "clip",
2279 "name": "clip",
2280 "type": "CLIP",
2281 "link": 714
2282 },
2283 {
2284 "localized_name": "prompt",
2285 "name": "prompt",
2286 "type": "STRING",
2287 "widget": {
2288 "name": "prompt"
2289 },
2290 "link": 715
2291 },
2292 {
2293 "localized_name": "on_false",
2294 "name": "on_false",
2295 "shape": 7,
2296 "type": "IMAGE",
2297 "link": 716
2298 },
2299 {
2300 "localized_name": "string_b",
2301 "name": "string_b",
2302 "type": "STRING",
2303 "widget": {
2304 "name": "string_b"
2305 },
2306 "link": 717
2307 },
2308 {
2309 "label": "Character number",
2310 "localized_name": "choice",
2311 "name": "choice",
2312 "type": "COMBO",
2313 "widget": {
2314 "name": "choice"
2315 },
2316 "link": null
2317 },
2318 {
2319 "label": "Reference Mpx",
2320 "localized_name": "value",
2321 "name": "value",
2322 "type": "FLOAT",
2323 "widget": {
2324 "name": "value"
2325 },
2326 "link": null
2327 },
2328 {
2329 "label": "Use Fizgig",
2330 "localized_name": "value_1",
2331 "name": "value_1",
2332 "type": "BOOLEAN",
2333 "widget": {
2334 "name": "value_1"
2335 },
2336 "link": null
2337 },
2338 {
2339 "label": "Custom size",
2340 "name": "value_2",
2341 "type": "BOOLEAN",
2342 "widget": {
2343 "name": "value_2"
2344 },
2345 "link": null
2346 },
2347 {
2348 "label": "Reinforce relight",
2349 "name": "switch",
2350 "type": "BOOLEAN",
2351 "widget": {
2352 "name": "switch"
2353 },
2354 "link": null
2355 }
2356 ],
2357 "outputs": [
2358 {
2359 "localized_name": "output",
2360 "name": "output",
2361 "type": "IMAGE",
2362 "links": [
2363 721
2364 ]
2365 },
2366 {
2367 "localized_name": "output_1",
2368 "name": "output_1",
2369 "type": "STRING",
2370 "links": [
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2372 ]
2373 },
2374 {
2375 "localized_name": "STRING",
2376 "name": "STRING",
2377 "type": "STRING",
2378 "links": [
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2380 ]
2381 },
2382 {
2383 "localized_name": "FLOAT",
2384 "name": "FLOAT",
2385 "type": "FLOAT",
2386 "links": [
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2388 ]
2389 },
2390 {
2391 "name": "COMBO",
2392 "type": "COMBO",
2393 "links": [
2394 725
2395 ]
2396 },
2397 {
2398 "localized_name": "BOOLEAN",
2399 "name": "BOOLEAN",
2400 "type": "BOOLEAN",
2401 "links": [
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2403 ]
2404 }
2405 ],
2406 "properties": {
2407 "cnr_id": "comfy-core",
2408 "ver": "0.43.0",
2409 "previewExposures": []
2410 },
2411 "widgets_values": [
2412 1280,
2413 1600,
2414 "Give a very brief, 20-30 words overview of the girl's placements and activities.",
2415 "",
2416 "2",
2417 1.75,
2418 true,
2419 false,
2420 true
2421 ],
2422 "widgets_values_named": {
2423 "width": 1280,
2424 "height": 1600,
2425 "prompt": "Give a very brief, 20-30 words overview of the girl's placements and activities.",
2426 "string_b": "",
2427 "choice": "2",
2428 "value": 1.75,
2429 "value_1": true,
2430 "value_2": false,
2431 "switch": true
2432 },
2433 "color": "#16433FFF",
2434 "bgcolor": "#20625BFF",
2435 "shape": 1
2436 },
2437 {
2438 "id": 329,
2439 "type": "Note",
2440 "pos": [
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2442 -3010
2443 ],
2444 "size": [
2445 510,
2446 170
2447 ],
2448 "flags": [],
2449 "order": 17,
2450 "mode": 0,
2451 "inputs": [],
2452 "outputs": [],
2453 "title": "Workers",
2454 "properties": [],
2455 "widgets_values": [
2456 "Worker nodes. They do the logic, comparison and prompt creations."
2457 ],
2458 "widgets_values_named": {
2459 "text": "Worker nodes. They do the logic, comparison and prompt creations."
2460 },
2461 "color": "#222",
2462 "bgcolor": "#000",
2463 "shape": 1
2464 },
2465 {
2466 "id": 331,
2467 "type": "Note",
2468 "pos": [
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2470 -3010
2471 ],
2472 "size": [
2473 330,
2474 170
2475 ],
2476 "flags": [],
2477 "order": 18,
2478 "mode": 0,
2479 "inputs": [],
2480 "outputs": [],
2481 "title": "Models",
2482 "properties": [],
2483 "widgets_values": [
2484 "Select your main clip, diffusion model and additional clip for the prompt assembling - I recommend qwen3vl_8b_int8_convrot."
2485 ],
2486 "widgets_values_named": {
2487 "text": "Select your main clip, diffusion model and additional clip for the prompt assembling - I recommend qwen3vl_8b_int8_convrot."
2488 },
2489 "color": "#3E3279FF",
2490 "bgcolor": "#4E3F98FF",
2491 "shape": 1
2492 },
2493 {
2494 "id": 332,
2495 "type": "Note",
2496 "pos": [
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2498 -3010
2499 ],
2500 "size": [
2501 580,
2502 170
2503 ],
2504 "flags": [],
2505 "order": 19,
2506 "mode": 0,
2507 "inputs": [],
2508 "outputs": [],
2509 "title": "Main settings",
2510 "properties": [],
2511 "widgets_values": [
2512 "Select the image to edit.\n---Nodes---\nSettings: the main settings. You can override image size to a custom size. You can choose not to use fizgig (single latent, about 20 percent speedup, but the more character you use the less). You can and must set the number of characters from 1-4 here. Choose the reference image size. Reinforce relight adds an extre prompt automatically for all subjects to relight them, which usually helps with placing them more naturally, but you are free to turn it off.\n\nAdditional overall instruction: you can ask for extra edits here besides the basic character swap. Fixing, pose adjustment or even background change is possible here.\n\nInstruct plus: sometimes you might have to adjust the main instruction prompt to get the subjects you want. I mainly used it for things like \"ignore background characters\" or \"treat the chibi plush as character\". "
2513 ],
2514 "widgets_values_named": {
2515 "text": "Select the image to edit.\n---Nodes---\nSettings: the main settings. You can override image size to a custom size. You can choose not to use fizgig (single latent, about 20 percent speedup, but the more character you use the less). You can and must set the number of characters from 1-4 here. Choose the reference image size. Reinforce relight adds an extre prompt automatically for all subjects to relight them, which usually helps with placing them more naturally, but you are free to turn it off.\n\nAdditional overall instruction: you can ask for extra edits here besides the basic character swap. Fixing, pose adjustment or even background change is possible here.\n\nInstruct plus: sometimes you might have to adjust the main instruction prompt to get the subjects you want. I mainly used it for things like \"ignore background characters\" or \"treat the chibi plush as character\". "
2516 },
2517 "color": "#16433FFF",
2518 "bgcolor": "#20625BFF",
2519 "shape": 1
2520 },
2521 {
2522 "id": 333,
2523 "type": "Note",
2524 "pos": [
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2526 -3010
2527 ],
2528 "size": [
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2530 170
2531 ],
2532 "flags": [],
2533 "order": 20,
2534 "mode": 0,
2535 "inputs": [],
2536 "outputs": [],
2537 "title": "Characters",
2538 "properties": [],
2539 "widgets_values": [
2540 "Set the character reference images here.\nIf needed you can add extra notes to the character - like \"she's a minigirl, downsize her\" or \"age her up\"."
2541 ],
2542 "widgets_values_named": {
2543 "text": "Set the character reference images here.\nIf needed you can add extra notes to the character - like \"she's a minigirl, downsize her\" or \"age her up\"."
2544 },
2545 "color": "#20435FFF",
2546 "bgcolor": "#2A587EFF",
2547 "shape": 1
2548 },
2549 {
2550 "id": 334,
2551 "type": "Note",
2552 "pos": [
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2555 ],
2556 "size": [
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2558 170
2559 ],
2560 "flags": [],
2561 "order": 21,
2562 "mode": 0,
2563 "inputs": [],
2564 "outputs": [],
2565 "title": "Preview instructions",
2566 "properties": [],
2567 "widgets_values": [
2568 "Here you can check if the model got the subject you wanted to as well as determine which character is which. It's usually left-to-right, but it might change, so sometimes it's worth to give it a quick glance."
2569 ],
2570 "widgets_values_named": {
2571 "text": "Here you can check if the model got the subject you wanted to as well as determine which character is which. It's usually left-to-right, but it might change, so sometimes it's worth to give it a quick glance."
2572 },
2573 "color": "#524913FF",
2574 "bgcolor": "#71641AFF",
2575 "shape": 1
2576 },
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3646 "name": "sampling_mode.top_p"
3647 },
3648 "link": null
3649 },
3650 {
3651 "localized_name": "min_p",
3652 "name": "sampling_mode.min_p",
3653 "type": "FLOAT",
3654 "widget": {
3655 "name": "sampling_mode.min_p"
3656 },
3657 "link": null
3658 },
3659 {
3660 "localized_name": "repetition_penalty",
3661 "name": "sampling_mode.repetition_penalty",
3662 "type": "FLOAT",
3663 "widget": {
3664 "name": "sampling_mode.repetition_penalty"
3665 },
3666 "link": null
3667 },
3668 {
3669 "localized_name": "seed",
3670 "name": "sampling_mode.seed",
3671 "type": "INT",
3672 "widget": {
3673 "name": "sampling_mode.seed"
3674 },
3675 "link": null
3676 },
3677 {
3678 "localized_name": "presence_penalty",
3679 "name": "sampling_mode.presence_penalty",
3680 "shape": 7,
3681 "type": "FLOAT",
3682 "widget": {
3683 "name": "sampling_mode.presence_penalty"
3684 },
3685 "link": null
3686 },
3687 {
3688 "localized_name": "thinking",
3689 "name": "thinking",
3690 "shape": 7,
3691 "type": "BOOLEAN",
3692 "widget": {
3693 "name": "thinking"
3694 },
3695 "link": null
3696 },
3697 {
3698 "localized_name": "use_default_template",
3699 "name": "use_default_template",
3700 "shape": 7,
3701 "type": "BOOLEAN",
3702 "widget": {
3703 "name": "use_default_template"
3704 },
3705 "link": null
3706 },
3707 {
3708 "localized_name": "mtp",
3709 "name": "mtp",
3710 "shape": 7,
3711 "type": "COMBO",
3712 "widget": {
3713 "name": "mtp"
3714 },
3715 "link": null
3716 }
3717 ],
3718 "outputs": [
3719 {
3720 "localized_name": "generated_text",
3721 "name": "generated_text",
3722 "type": "STRING",
3723 "links": [
3724 624
3725 ]
3726 },
3727 {
3728 "localized_name": "thinking",
3729 "name": "thinking",
3730 "type": "STRING",
3731 "links": []
3732 }
3733 ],
3734 "properties": {
3735 "cnr_id": "comfy-core",
3736 "ver": "0.38.0",
3737 "Node name for S&R": "TextGenerate"
3738 },
3739 "widgets_values": [
3740 "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
3741 512,
3742 "on",
3743 0.7,
3744 64,
3745 0.95,
3746 0.05,
3747 1.05,
3748 0,
3749 0,
3750 true,
3751 true,
3752 "auto"
3753 ],
3754 "widgets_values_named": {
3755 "prompt": "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
3756 "max_length": 512,
3757 "sampling_mode": "on",
3758 "sampling_mode.temperature": 0.7,
3759 "sampling_mode.top_k": 64,
3760 "sampling_mode.top_p": 0.95,
3761 "sampling_mode.min_p": 0.05,
3762 "sampling_mode.repetition_penalty": 1.05,
3763 "sampling_mode.seed": 0,
3764 "sampling_mode.presence_penalty": 0,
3765 "thinking": true,
3766 "use_default_template": true,
3767 "mtp": "auto"
3768 },
3769 "color": "#203E11FF",
3770 "bgcolor": "#305D1AFF"
3771 },
3772 {
3773 "id": 299,
3774 "type": "StringConcatenate",
3775 "pos": [
3776 -3510,
3777 -4000
3778 ],
3779 "size": [
3780 400,
3781 200
3782 ],
3783 "flags": [],
3784 "order": 20,
3785 "mode": 0,
3786 "inputs": [
3787 {
3788 "localized_name": "string_a",
3789 "name": "string_a",
3790 "type": "STRING",
3791 "widget": {
3792 "name": "string_a"
3793 },
3794 "link": null
3795 },
3796 {
3797 "localized_name": "string_b",
3798 "name": "string_b",
3799 "type": "STRING",
3800 "widget": {
3801 "name": "string_b"
3802 },
3803 "link": null
3804 },
3805 {
3806 "localized_name": "delimiter",
3807 "name": "delimiter",
3808 "type": "STRING",
3809 "widget": {
3810 "name": "delimiter"
3811 },
3812 "link": 627
3813 }
3814 ],
3815 "outputs": [
3816 {
3817 "localized_name": "STRING",
3818 "name": "STRING",
3819 "type": "STRING",
3820 "links": [
3821 623
3822 ]
3823 }
3824 ],
3825 "properties": {
3826 "cnr_id": "comfy-core",
3827 "ver": "0.38.0",
3828 "Node name for S&R": "StringConcatenate"
3829 },
3830 "widgets_values": [
3831 "<Subject ",
3832 "> ",
3833 ""
3834 ],
3835 "widgets_values_named": {
3836 "string_a": "<Subject ",
3837 "string_b": "> ",
3838 "delimiter": ""
3839 },
3840 "color": "#203E11FF",
3841 "bgcolor": "#305D1AFF"
3842 },
3843 {
3844 "id": 300,
3845 "type": "ComfyMathExpression",
3846 "pos": [
3847 -4170,
3848 -3910
3849 ],
3850 "size": [
3851 210,
3852 130
3853 ],
3854 "flags": [],
3855 "order": 11,
3856 "mode": 0,
3857 "inputs": [
3858 {
3859 "localized_name": "a",
3860 "name": "values.a",
3861 "type": "FLOAT,INT,BOOLEAN",
3862 "link": 632
3863 },
3864 {
3865 "localized_name": "b",
3866 "name": "values.b",
3867 "shape": 7,
3868 "type": "FLOAT,INT,BOOLEAN",
3869 "link": null
3870 },
3871 {
3872 "localized_name": "expression",
3873 "name": "expression",
3874 "type": "STRING",
3875 "widget": {
3876 "name": "expression"
3877 },
3878 "link": null
3879 }
3880 ],
3881 "outputs": [
3882 {
3883 "localized_name": "FLOAT",
3884 "name": "FLOAT",
3885 "type": "FLOAT",
3886 "links": []
3887 },
3888 {
3889 "localized_name": "INT",
3890 "name": "INT",
3891 "type": "INT",
3892 "links": [
3893 626
3894 ]
3895 },
3896 {
3897 "localized_name": "BOOL",
3898 "name": "BOOL",
3899 "type": "BOOLEAN",
3900 "links": []
3901 }
3902 ],
3903 "properties": {
3904 "cnr_id": "comfy-core",
3905 "ver": "0.38.0",
3906 "Node name for S&R": "ComfyMathExpression"
3907 },
3908 "widgets_values": [
3909 "a + 1"
3910 ],
3911 "widgets_values_named": {
3912 "expression": "a + 1"
3913 },
3914 "color": "#203E11FF",
3915 "bgcolor": "#305D1AFF"
3916 },
3917 {
3918 "id": 279,
3919 "type": "PreviewAny",
3920 "pos": [
3921 -5560,
3922 -4090
3923 ],
3924 "size": [
3925 210,
3926 130
3927 ],
3928 "flags": [],
3929 "order": 8,
3930 "mode": 0,
3931 "inputs": [
3932 {
3933 "localized_name": "source",
3934 "name": "source",
3935 "type": "*",
3936 "link": 597
3937 }
3938 ],
3939 "outputs": [
3940 {
3941 "localized_name": "STRING",
3942 "name": "STRING",
3943 "type": "STRING",
3944 "links": [
3945 599
3946 ]
3947 }
3948 ],
3949 "properties": {
3950 "cnr_id": "comfy-core",
3951 "ver": "0.38.0",
3952 "Node name for S&R": "PreviewAny"
3953 },
3954 "widgets_values": [],
3955 "widgets_values_named": [],
3956 "color": "#203E11FF",
3957 "bgcolor": "#305D1AFF"
3958 },
3959 {
3960 "id": 280,
3961 "type": "StringConcatenate",
3962 "pos": [
3963 -4910,
3964 -4220
3965 ],
3966 "size": [
3967 400,
3968 200
3969 ],
3970 "flags": [],
3971 "order": 55,
3972 "mode": 0,
3973 "inputs": [
3974 {
3975 "localized_name": "string_a",
3976 "name": "string_a",
3977 "type": "STRING",
3978 "widget": {
3979 "name": "string_a"
3980 },
3981 "link": null
3982 },
3983 {
3984 "localized_name": "string_b",
3985 "name": "string_b",
3986 "type": "STRING",
3987 "widget": {
3988 "name": "string_b"
3989 },
3990 "link": 601
3991 },
3992 {
3993 "localized_name": "delimiter",
3994 "name": "delimiter",
3995 "type": "STRING",
3996 "widget": {
3997 "name": "delimiter"
3998 },
3999 "link": null
4000 }
4001 ],
4002 "outputs": [
4003 {
4004 "localized_name": "STRING",
4005 "name": "STRING",
4006 "type": "STRING",
4007 "links": [
4008 598
4009 ]
4010 }
4011 ],
4012 "properties": {
4013 "cnr_id": "comfy-core",
4014 "ver": "0.38.0",
4015 "Node name for S&R": "StringConcatenate"
4016 },
4017 "widgets_values": [
4018 "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4019 "",
4020 ""
4021 ],
4022 "widgets_values_named": {
4023 "string_a": "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4024 "string_b": "",
4025 "delimiter": ""
4026 },
4027 "color": "#203E11FF",
4028 "bgcolor": "#305D1AFF"
4029 },
4030 {
4031 "id": 281,
4032 "type": "StringReplace",
4033 "pos": [
4034 -5540,
4035 -3890
4036 ],
4037 "size": [
4038 210,
4039 200
4040 ],
4041 "flags": [],
4042 "order": 56,
4043 "mode": 0,
4044 "inputs": [
4045 {
4046 "localized_name": "string",
4047 "name": "string",
4048 "type": "STRING",
4049 "widget": {
4050 "name": "string"
4051 },
4052 "link": 598
4053 },
4054 {
4055 "localized_name": "find",
4056 "name": "find",
4057 "type": "STRING",
4058 "widget": {
4059 "name": "find"
4060 },
4061 "link": null
4062 },
4063 {
4064 "localized_name": "replace",
4065 "name": "replace",
4066 "type": "STRING",
4067 "widget": {
4068 "name": "replace"
4069 },
4070 "link": 599
4071 }
4072 ],
4073 "outputs": [
4074 {
4075 "localized_name": "STRING",
4076 "name": "STRING",
4077 "type": "STRING",
4078 "links": [
4079 613
4080 ]
4081 }
4082 ],
4083 "properties": {
4084 "cnr_id": "comfy-core",
4085 "ver": "0.38.0",
4086 "Node name for S&R": "StringReplace"
4087 },
4088 "widgets_values": [
4089 "",
4090 "#",
4091 ""
4092 ],
4093 "widgets_values_named": {
4094 "string": "",
4095 "find": "#",
4096 "replace": ""
4097 },
4098 "color": "#203E11FF",
4099 "bgcolor": "#305D1AFF"
4100 },
4101 {
4102 "id": 282,
4103 "type": "TextGenerate",
4104 "pos": [
4105 -5330,
4106 -4470
4107 ],
4108 "size": [
4109 400,
4110 490
4111 ],
4112 "flags": [],
4113 "order": 57,
4114 "mode": 0,
4115 "inputs": [
4116 {
4117 "localized_name": "clip",
4118 "name": "clip",
4119 "type": "CLIP",
4120 "link": 610
4121 },
4122 {
4123 "localized_name": "image",
4124 "name": "image",
4125 "shape": 7,
4126 "type": "IMAGE",
4127 "link": 611
4128 },
4129 {
4130 "localized_name": "video",
4131 "name": "video",
4132 "shape": 7,
4133 "type": "IMAGE",
4134 "link": null
4135 },
4136 {
4137 "localized_name": "audio",
4138 "name": "audio",
4139 "shape": 7,
4140 "type": "AUDIO",
4141 "link": null
4142 },
4143 {
4144 "localized_name": "system_prompt",
4145 "name": "system_prompt",
4146 "shape": 7,
4147 "type": "STRING",
4148 "link": null
4149 },
4150 {
4151 "localized_name": "prompt",
4152 "name": "prompt",
4153 "type": "STRING",
4154 "widget": {
4155 "name": "prompt"
4156 },
4157 "link": null
4158 },
4159 {
4160 "localized_name": "max_length",
4161 "name": "max_length",
4162 "type": "INT",
4163 "widget": {
4164 "name": "max_length"
4165 },
4166 "link": null
4167 },
4168 {
4169 "localized_name": "Sampling Mode",
4170 "name": "sampling_mode",
4171 "type": "COMFY_DYNAMICCOMBO_V3",
4172 "widget": {
4173 "name": "sampling_mode"
4174 },
4175 "link": null
4176 },
4177 {
4178 "localized_name": "temperature",
4179 "name": "sampling_mode.temperature",
4180 "type": "FLOAT",
4181 "widget": {
4182 "name": "sampling_mode.temperature"
4183 },
4184 "link": null
4185 },
4186 {
4187 "localized_name": "top_k",
4188 "name": "sampling_mode.top_k",
4189 "type": "INT",
4190 "widget": {
4191 "name": "sampling_mode.top_k"
4192 },
4193 "link": null
4194 },
4195 {
4196 "localized_name": "top_p",
4197 "name": "sampling_mode.top_p",
4198 "type": "FLOAT",
4199 "widget": {
4200 "name": "sampling_mode.top_p"
4201 },
4202 "link": null
4203 },
4204 {
4205 "localized_name": "min_p",
4206 "name": "sampling_mode.min_p",
4207 "type": "FLOAT",
4208 "widget": {
4209 "name": "sampling_mode.min_p"
4210 },
4211 "link": null
4212 },
4213 {
4214 "localized_name": "repetition_penalty",
4215 "name": "sampling_mode.repetition_penalty",
4216 "type": "FLOAT",
4217 "widget": {
4218 "name": "sampling_mode.repetition_penalty"
4219 },
4220 "link": null
4221 },
4222 {
4223 "localized_name": "seed",
4224 "name": "sampling_mode.seed",
4225 "type": "INT",
4226 "widget": {
4227 "name": "sampling_mode.seed"
4228 },
4229 "link": null
4230 },
4231 {
4232 "localized_name": "presence_penalty",
4233 "name": "sampling_mode.presence_penalty",
4234 "shape": 7,
4235 "type": "FLOAT",
4236 "widget": {
4237 "name": "sampling_mode.presence_penalty"
4238 },
4239 "link": null
4240 },
4241 {
4242 "localized_name": "thinking",
4243 "name": "thinking",
4244 "shape": 7,
4245 "type": "BOOLEAN",
4246 "widget": {
4247 "name": "thinking"
4248 },
4249 "link": null
4250 },
4251 {
4252 "localized_name": "use_default_template",
4253 "name": "use_default_template",
4254 "shape": 7,
4255 "type": "BOOLEAN",
4256 "widget": {
4257 "name": "use_default_template"
4258 },
4259 "link": null
4260 },
4261 {
4262 "localized_name": "mtp",
4263 "name": "mtp",
4264 "shape": 7,
4265 "type": "COMBO",
4266 "widget": {
4267 "name": "mtp"
4268 },
4269 "link": null
4270 }
4271 ],
4272 "outputs": [
4273 {
4274 "localized_name": "generated_text",
4275 "name": "generated_text",
4276 "type": "STRING",
4277 "links": [
4278 600
4279 ]
4280 },
4281 {
4282 "localized_name": "thinking",
4283 "name": "thinking",
4284 "type": "STRING",
4285 "links": []
4286 }
4287 ],
4288 "properties": {
4289 "cnr_id": "comfy-core",
4290 "ver": "0.38.0",
4291 "Node name for S&R": "TextGenerate"
4292 },
4293 "widgets_values": [
4294 "Make a very short description of the Character's appearance, including her hair, eyes' and outfit's color, and any very distinct identity anchors, no more than 15 words.",
4295 512,
4296 "on",
4297 0.7,
4298 64,
4299 0.95,
4300 0.05,
4301 1.05,
4302 0,
4303 0,
4304 true,
4305 true,
4306 "auto"
4307 ],
4308 "widgets_values_named": {
4309 "prompt": "Make a very short description of the Character's appearance, including her hair, eyes' and outfit's color, and any very distinct identity anchors, no more than 15 words.",
4310 "max_length": 512,
4311 "sampling_mode": "on",
4312 "sampling_mode.temperature": 0.7,
4313 "sampling_mode.top_k": 64,
4314 "sampling_mode.top_p": 0.95,
4315 "sampling_mode.min_p": 0.05,
4316 "sampling_mode.repetition_penalty": 1.05,
4317 "sampling_mode.seed": 0,
4318 "sampling_mode.presence_penalty": 0,
4319 "thinking": true,
4320 "use_default_template": true,
4321 "mtp": "auto"
4322 },
4323 "color": "#203E11FF",
4324 "bgcolor": "#305D1AFF"
4325 },
4326 {
4327 "id": 283,
4328 "type": "TextGenerate",
4329 "pos": [
4330 -5320,
4331 -3920
4332 ],
4333 "size": [
4334 400,
4335 490
4336 ],
4337 "flags": [],
4338 "order": 58,
4339 "mode": 0,
4340 "inputs": [
4341 {
4342 "localized_name": "clip",
4343 "name": "clip",
4344 "type": "CLIP",
4345 "link": 612
4346 },
4347 {
4348 "localized_name": "image",
4349 "name": "image",
4350 "shape": 7,
4351 "type": "IMAGE",
4352 "link": null
4353 },
4354 {
4355 "localized_name": "video",
4356 "name": "video",
4357 "shape": 7,
4358 "type": "IMAGE",
4359 "link": null
4360 },
4361 {
4362 "localized_name": "audio",
4363 "name": "audio",
4364 "shape": 7,
4365 "type": "AUDIO",
4366 "link": null
4367 },
4368 {
4369 "localized_name": "system_prompt",
4370 "name": "system_prompt",
4371 "shape": 7,
4372 "type": "STRING",
4373 "link": null
4374 },
4375 {
4376 "localized_name": "prompt",
4377 "name": "prompt",
4378 "type": "STRING",
4379 "widget": {
4380 "name": "prompt"
4381 },
4382 "link": 613
4383 },
4384 {
4385 "localized_name": "max_length",
4386 "name": "max_length",
4387 "type": "INT",
4388 "widget": {
4389 "name": "max_length"
4390 },
4391 "link": null
4392 },
4393 {
4394 "localized_name": "Sampling Mode",
4395 "name": "sampling_mode",
4396 "type": "COMFY_DYNAMICCOMBO_V3",
4397 "widget": {
4398 "name": "sampling_mode"
4399 },
4400 "link": null
4401 },
4402 {
4403 "localized_name": "temperature",
4404 "name": "sampling_mode.temperature",
4405 "type": "FLOAT",
4406 "widget": {
4407 "name": "sampling_mode.temperature"
4408 },
4409 "link": null
4410 },
4411 {
4412 "localized_name": "top_k",
4413 "name": "sampling_mode.top_k",
4414 "type": "INT",
4415 "widget": {
4416 "name": "sampling_mode.top_k"
4417 },
4418 "link": null
4419 },
4420 {
4421 "localized_name": "top_p",
4422 "name": "sampling_mode.top_p",
4423 "type": "FLOAT",
4424 "widget": {
4425 "name": "sampling_mode.top_p"
4426 },
4427 "link": null
4428 },
4429 {
4430 "localized_name": "min_p",
4431 "name": "sampling_mode.min_p",
4432 "type": "FLOAT",
4433 "widget": {
4434 "name": "sampling_mode.min_p"
4435 },
4436 "link": null
4437 },
4438 {
4439 "localized_name": "repetition_penalty",
4440 "name": "sampling_mode.repetition_penalty",
4441 "type": "FLOAT",
4442 "widget": {
4443 "name": "sampling_mode.repetition_penalty"
4444 },
4445 "link": null
4446 },
4447 {
4448 "localized_name": "seed",
4449 "name": "sampling_mode.seed",
4450 "type": "INT",
4451 "widget": {
4452 "name": "sampling_mode.seed"
4453 },
4454 "link": null
4455 },
4456 {
4457 "localized_name": "presence_penalty",
4458 "name": "sampling_mode.presence_penalty",
4459 "shape": 7,
4460 "type": "FLOAT",
4461 "widget": {
4462 "name": "sampling_mode.presence_penalty"
4463 },
4464 "link": null
4465 },
4466 {
4467 "localized_name": "thinking",
4468 "name": "thinking",
4469 "shape": 7,
4470 "type": "BOOLEAN",
4471 "widget": {
4472 "name": "thinking"
4473 },
4474 "link": null
4475 },
4476 {
4477 "localized_name": "use_default_template",
4478 "name": "use_default_template",
4479 "shape": 7,
4480 "type": "BOOLEAN",
4481 "widget": {
4482 "name": "use_default_template"
4483 },
4484 "link": null
4485 },
4486 {
4487 "localized_name": "mtp",
4488 "name": "mtp",
4489 "shape": 7,
4490 "type": "COMBO",
4491 "widget": {
4492 "name": "mtp"
4493 },
4494 "link": null
4495 }
4496 ],
4497 "outputs": [
4498 {
4499 "localized_name": "generated_text",
4500 "name": "generated_text",
4501 "type": "STRING",
4502 "links": [
4503 606
4504 ]
4505 },
4506 {
4507 "localized_name": "thinking",
4508 "name": "thinking",
4509 "type": "STRING",
4510 "links": []
4511 }
4512 ],
4513 "properties": {
4514 "cnr_id": "comfy-core",
4515 "ver": "0.38.0",
4516 "Node name for S&R": "TextGenerate"
4517 },
4518 "widgets_values": [
4519 "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
4520 512,
4521 "on",
4522 0.7,
4523 64,
4524 0.95,
4525 0.05,
4526 1.05,
4527 0,
4528 0,
4529 true,
4530 true,
4531 "auto"
4532 ],
4533 "widgets_values_named": {
4534 "prompt": "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
4535 "max_length": 512,
4536 "sampling_mode": "on",
4537 "sampling_mode.temperature": 0.7,
4538 "sampling_mode.top_k": 64,
4539 "sampling_mode.top_p": 0.95,
4540 "sampling_mode.min_p": 0.05,
4541 "sampling_mode.repetition_penalty": 1.05,
4542 "sampling_mode.seed": 0,
4543 "sampling_mode.presence_penalty": 0,
4544 "thinking": true,
4545 "use_default_template": true,
4546 "mtp": "auto"
4547 },
4548 "color": "#203E11FF",
4549 "bgcolor": "#305D1AFF"
4550 },
4551 {
4552 "id": 289,
4553 "type": "PreviewAny",
4554 "pos": [
4555 -5570,
4556 -4270
4557 ],
4558 "size": [
4559 210,
4560 130
4561 ],
4562 "flags": [],
4563 "order": 15,
4564 "mode": 0,
4565 "inputs": [
4566 {
4567 "localized_name": "source",
4568 "name": "source",
4569 "type": "*",
4570 "link": 608
4571 }
4572 ],
4573 "outputs": [
4574 {
4575 "localized_name": "STRING",
4576 "name": "STRING",
4577 "type": "STRING",
4578 "links": [
4579 609
4580 ]
4581 }
4582 ],
4583 "title": "subject",
4584 "properties": {
4585 "cnr_id": "comfy-core",
4586 "ver": "0.38.0",
4587 "Node name for S&R": "PreviewAny"
4588 },
4589 "widgets_values": [],
4590 "widgets_values_named": [],
4591 "color": "#203E11FF",
4592 "bgcolor": "#305D1AFF"
4593 },
4594 {
4595 "id": 292,
4596 "type": "StringConcatenate",
4597 "pos": [
4598 -4160,
4599 -4140
4600 ],
4601 "size": [
4602 210,
4603 170
4604 ],
4605 "flags": [],
4606 "order": 62,
4607 "mode": 0,
4608 "inputs": [
4609 {
4610 "localized_name": "string_a",
4611 "name": "string_a",
4612 "type": "STRING",
4613 "widget": {
4614 "name": "string_a"
4615 },
4616 "link": null
4617 },
4618 {
4619 "localized_name": "string_b",
4620 "name": "string_b",
4621 "type": "STRING",
4622 "widget": {
4623 "name": "string_b"
4624 },
4625 "link": 619
4626 },
4627 {
4628 "localized_name": "delimiter",
4629 "name": "delimiter",
4630 "type": "STRING",
4631 "widget": {
4632 "name": "delimiter"
4633 },
4634 "link": null
4635 }
4636 ],
4637 "outputs": [
4638 {
4639 "localized_name": "STRING",
4640 "name": "STRING",
4641 "type": "STRING",
4642 "links": [
4643 616
4644 ]
4645 }
4646 ],
4647 "properties": {
4648 "cnr_id": "comfy-core",
4649 "ver": "0.38.0",
4650 "Node name for S&R": "StringConcatenate"
4651 },
4652 "widgets_values": [
4653 "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4654 "",
4655 ""
4656 ],
4657 "widgets_values_named": {
4658 "string_a": "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4659 "string_b": "",
4660 "delimiter": ""
4661 },
4662 "color": "#203E11FF",
4663 "bgcolor": "#305D1AFF"
4664 },
4665 {
4666 "id": 298,
4667 "type": "StringConcatenate",
4668 "pos": [
4669 -3510,
4670 -4260
4671 ],
4672 "size": [
4673 400,
4674 200
4675 ],
4676 "flags": [],
4677 "order": 68,
4678 "mode": 0,
4679 "inputs": [
4680 {
4681 "localized_name": "string_a",
4682 "name": "string_a",
4683 "type": "STRING",
4684 "widget": {
4685 "name": "string_a"
4686 },
4687 "link": 622
4688 },
4689 {
4690 "localized_name": "string_b",
4691 "name": "string_b",
4692 "type": "STRING",
4693 "widget": {
4694 "name": "string_b"
4695 },
4696 "link": 624
4697 },
4698 {
4699 "localized_name": "delimiter",
4700 "name": "delimiter",
4701 "type": "STRING",
4702 "widget": {
4703 "name": "delimiter"
4704 },
4705 "link": null
4706 }
4707 ],
4708 "outputs": [
4709 {
4710 "localized_name": "STRING",
4711 "name": "STRING",
4712 "type": "STRING",
4713 "links": [
4714 625
4715 ]
4716 }
4717 ],
4718 "properties": {
4719 "cnr_id": "comfy-core",
4720 "ver": "0.38.0",
4721 "Node name for S&R": "StringConcatenate"
4722 },
4723 "widgets_values": [
4724 "",
4725 " ",
4726 " "
4727 ],
4728 "widgets_values_named": {
4729 "string_a": "",
4730 "string_b": " ",
4731 "delimiter": " "
4732 },
4733 "color": "#203E11FF",
4734 "bgcolor": "#305D1AFF"
4735 },
4736 {
4737 "id": 268,
4738 "type": "StringConcatenate",
4739 "pos": [
4740 -6140,
4741 -4230
4742 ],
4743 "size": [
4744 400,
4745 200
4746 ],
4747 "flags": [],
4748 "order": 48,
4749 "mode": 0,
4750 "inputs": [
4751 {
4752 "localized_name": "string_a",
4753 "name": "string_a",
4754 "type": "STRING",
4755 "widget": {
4756 "name": "string_a"
4757 },
4758 "link": null
4759 },
4760 {
4761 "localized_name": "string_b",
4762 "name": "string_b",
4763 "type": "STRING",
4764 "widget": {
4765 "name": "string_b"
4766 },
4767 "link": 583
4768 },
4769 {
4770 "localized_name": "delimiter",
4771 "name": "delimiter",
4772 "type": "STRING",
4773 "widget": {
4774 "name": "delimiter"
4775 },
4776 "link": null
4777 }
4778 ],
4779 "outputs": [
4780 {
4781 "localized_name": "STRING",
4782 "name": "STRING",
4783 "type": "STRING",
4784 "links": [
4785 580
4786 ]
4787 }
4788 ],
4789 "properties": {
4790 "cnr_id": "comfy-core",
4791 "ver": "0.38.0",
4792 "Node name for S&R": "StringConcatenate"
4793 },
4794 "widgets_values": [
4795 "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4796 "",
4797 ""
4798 ],
4799 "widgets_values_named": {
4800 "string_a": "Extract the pose and placement of [Character #] very briefly from this short prompt without the instructions, maximum 20 words. Include her placement on the picture if present. Do not include which <Subject #> the character is.\n\n",
4801 "string_b": "",
4802 "delimiter": ""
4803 },
4804 "color": "#203E11FF",
4805 "bgcolor": "#305D1AFF"
4806 },
4807 {
4808 "id": 272,
4809 "type": "StringConcatenate",
4810 "pos": [
4811 -6160,
4812 -4500
4813 ],
4814 "size": [
4815 400,
4816 200
4817 ],
4818 "flags": [],
4819 "order": 52,
4820 "mode": 0,
4821 "inputs": [
4822 {
4823 "localized_name": "string_a",
4824 "name": "string_a",
4825 "type": "STRING",
4826 "widget": {
4827 "name": "string_a"
4828 },
4829 "link": 587
4830 },
4831 {
4832 "localized_name": "string_b",
4833 "name": "string_b",
4834 "type": "STRING",
4835 "widget": {
4836 "name": "string_b"
4837 },
4838 "link": 582
4839 },
4840 {
4841 "localized_name": "delimiter",
4842 "name": "delimiter",
4843 "type": "STRING",
4844 "widget": {
4845 "name": "delimiter"
4846 },
4847 "link": null
4848 }
4849 ],
4850 "outputs": [
4851 {
4852 "localized_name": "STRING",
4853 "name": "STRING",
4854 "type": "STRING",
4855 "links": [
4856 584
4857 ]
4858 }
4859 ],
4860 "properties": {
4861 "cnr_id": "comfy-core",
4862 "ver": "0.38.0",
4863 "Node name for S&R": "StringConcatenate"
4864 },
4865 "widgets_values": [
4866 "> ",
4867 "",
4868 ""
4869 ],
4870 "widgets_values_named": {
4871 "string_a": "> ",
4872 "string_b": "",
4873 "delimiter": ""
4874 },
4875 "color": "#203E11FF",
4876 "bgcolor": "#305D1AFF"
4877 },
4878 {
4879 "id": 274,
4880 "type": "StringConcatenate",
4881 "pos": [
4882 -6120,
4883 -3960
4884 ],
4885 "size": [
4886 400,
4887 200
4888 ],
4889 "flags": [],
4890 "order": 54,
4891 "mode": 0,
4892 "inputs": [
4893 {
4894 "localized_name": "string_a",
4895 "name": "string_a",
4896 "type": "STRING",
4897 "widget": {
4898 "name": "string_a"
4899 },
4900 "link": 586
4901 },
4902 {
4903 "localized_name": "string_b",
4904 "name": "string_b",
4905 "type": "STRING",
4906 "widget": {
4907 "name": "string_b"
4908 },
4909 "link": 588
4910 },
4911 {
4912 "localized_name": "delimiter",
4913 "name": "delimiter",
4914 "type": "STRING",
4915 "widget": {
4916 "name": "delimiter"
4917 },
4918 "link": null
4919 }
4920 ],
4921 "outputs": [
4922 {
4923 "localized_name": "STRING",
4924 "name": "STRING",
4925 "type": "STRING",
4926 "links": [
4927 589
4928 ]
4929 }
4930 ],
4931 "properties": {
4932 "cnr_id": "comfy-core",
4933 "ver": "0.38.0",
4934 "Node name for S&R": "StringConcatenate"
4935 },
4936 "widgets_values": [
4937 "",
4938 " ",
4939 " "
4940 ],
4941 "widgets_values_named": {
4942 "string_a": "",
4943 "string_b": " ",
4944 "delimiter": " "
4945 },
4946 "color": "#203E11FF",
4947 "bgcolor": "#305D1AFF"
4948 },
4949 {
4950 "id": 284,
4951 "type": "StringConcatenate",
4952 "pos": [
4953 -4910,
4954 -4480
4955 ],
4956 "size": [
4957 400,
4958 200
4959 ],
4960 "flags": [],
4961 "order": 59,
4962 "mode": 0,
4963 "inputs": [
4964 {
4965 "localized_name": "string_a",
4966 "name": "string_a",
4967 "type": "STRING",
4968 "widget": {
4969 "name": "string_a"
4970 },
4971 "link": 605
4972 },
4973 {
4974 "localized_name": "string_b",
4975 "name": "string_b",
4976 "type": "STRING",
4977 "widget": {
4978 "name": "string_b"
4979 },
4980 "link": 600
4981 },
4982 {
4983 "localized_name": "delimiter",
4984 "name": "delimiter",
4985 "type": "STRING",
4986 "widget": {
4987 "name": "delimiter"
4988 },
4989 "link": null
4990 }
4991 ],
4992 "outputs": [
4993 {
4994 "localized_name": "STRING",
4995 "name": "STRING",
4996 "type": "STRING",
4997 "links": [
4998 602
4999 ]
5000 }
5001 ],
5002 "properties": {
5003 "cnr_id": "comfy-core",
5004 "ver": "0.38.0",
5005 "Node name for S&R": "StringConcatenate"
5006 },
5007 "widgets_values": [
5008 "> ",
5009 "",
5010 ""
5011 ],
5012 "widgets_values_named": {
5013 "string_a": "> ",
5014 "string_b": "",
5015 "delimiter": ""
5016 },
5017 "color": "#203E11FF",
5018 "bgcolor": "#305D1AFF"
5019 },
5020 {
5021 "id": 293,
5022 "type": "StringReplace",
5023 "pos": [
5024 -4160,
5025 -4390
5026 ],
5027 "size": [
5028 210,
5029 200
5030 ],
5031 "flags": [],
5032 "order": 63,
5033 "mode": 0,
5034 "inputs": [
5035 {
5036 "localized_name": "string",
5037 "name": "string",
5038 "type": "STRING",
5039 "widget": {
5040 "name": "string"
5041 },
5042 "link": 616
5043 },
5044 {
5045 "localized_name": "find",
5046 "name": "find",
5047 "type": "STRING",
5048 "widget": {
5049 "name": "find"
5050 },
5051 "link": null
5052 },
5053 {
5054 "localized_name": "replace",
5055 "name": "replace",
5056 "type": "STRING",
5057 "widget": {
5058 "name": "replace"
5059 },
5060 "link": 617
5061 }
5062 ],
5063 "outputs": [
5064 {
5065 "localized_name": "STRING",
5066 "name": "STRING",
5067 "type": "STRING",
5068 "links": [
5069 631
5070 ]
5071 }
5072 ],
5073 "properties": {
5074 "cnr_id": "comfy-core",
5075 "ver": "0.38.0",
5076 "Node name for S&R": "StringReplace"
5077 },
5078 "widgets_values": [
5079 "",
5080 "#",
5081 ""
5082 ],
5083 "widgets_values_named": {
5084 "string": "",
5085 "find": "#",
5086 "replace": ""
5087 },
5088 "color": "#203E11FF",
5089 "bgcolor": "#305D1AFF"
5090 },
5091 {
5092 "id": 294,
5093 "type": "TextGenerate",
5094 "pos": [
5095 -3930,
5096 -4770
5097 ],
5098 "size": [
5099 400,
5100 490
5101 ],
5102 "flags": [],
5103 "order": 64,
5104 "mode": 0,
5105 "inputs": [
5106 {
5107 "localized_name": "clip",
5108 "name": "clip",
5109 "type": "CLIP",
5110 "link": 628
5111 },
5112 {
5113 "localized_name": "image",
5114 "name": "image",
5115 "shape": 7,
5116 "type": "IMAGE",
5117 "link": 629
5118 },
5119 {
5120 "localized_name": "video",
5121 "name": "video",
5122 "shape": 7,
5123 "type": "IMAGE",
5124 "link": null
5125 },
5126 {
5127 "localized_name": "audio",
5128 "name": "audio",
5129 "shape": 7,
5130 "type": "AUDIO",
5131 "link": null
5132 },
5133 {
5134 "localized_name": "system_prompt",
5135 "name": "system_prompt",
5136 "shape": 7,
5137 "type": "STRING",
5138 "link": null
5139 },
5140 {
5141 "localized_name": "prompt",
5142 "name": "prompt",
5143 "type": "STRING",
5144 "widget": {
5145 "name": "prompt"
5146 },
5147 "link": null
5148 },
5149 {
5150 "localized_name": "max_length",
5151 "name": "max_length",
5152 "type": "INT",
5153 "widget": {
5154 "name": "max_length"
5155 },
5156 "link": null
5157 },
5158 {
5159 "localized_name": "Sampling Mode",
5160 "name": "sampling_mode",
5161 "type": "COMFY_DYNAMICCOMBO_V3",
5162 "widget": {
5163 "name": "sampling_mode"
5164 },
5165 "link": null
5166 },
5167 {
5168 "localized_name": "temperature",
5169 "name": "sampling_mode.temperature",
5170 "type": "FLOAT",
5171 "widget": {
5172 "name": "sampling_mode.temperature"
5173 },
5174 "link": null
5175 },
5176 {
5177 "localized_name": "top_k",
5178 "name": "sampling_mode.top_k",
5179 "type": "INT",
5180 "widget": {
5181 "name": "sampling_mode.top_k"
5182 },
5183 "link": null
5184 },
5185 {
5186 "localized_name": "top_p",
5187 "name": "sampling_mode.top_p",
5188 "type": "FLOAT",
5189 "widget": {
5190 "name": "sampling_mode.top_p"
5191 },
5192 "link": null
5193 },
5194 {
5195 "localized_name": "min_p",
5196 "name": "sampling_mode.min_p",
5197 "type": "FLOAT",
5198 "widget": {
5199 "name": "sampling_mode.min_p"
5200 },
5201 "link": null
5202 },
5203 {
5204 "localized_name": "repetition_penalty",
5205 "name": "sampling_mode.repetition_penalty",
5206 "type": "FLOAT",
5207 "widget": {
5208 "name": "sampling_mode.repetition_penalty"
5209 },
5210 "link": null
5211 },
5212 {
5213 "localized_name": "seed",
5214 "name": "sampling_mode.seed",
5215 "type": "INT",
5216 "widget": {
5217 "name": "sampling_mode.seed"
5218 },
5219 "link": null
5220 },
5221 {
5222 "localized_name": "presence_penalty",
5223 "name": "sampling_mode.presence_penalty",
5224 "shape": 7,
5225 "type": "FLOAT",
5226 "widget": {
5227 "name": "sampling_mode.presence_penalty"
5228 },
5229 "link": null
5230 },
5231 {
5232 "localized_name": "thinking",
5233 "name": "thinking",
5234 "shape": 7,
5235 "type": "BOOLEAN",
5236 "widget": {
5237 "name": "thinking"
5238 },
5239 "link": null
5240 },
5241 {
5242 "localized_name": "use_default_template",
5243 "name": "use_default_template",
5244 "shape": 7,
5245 "type": "BOOLEAN",
5246 "widget": {
5247 "name": "use_default_template"
5248 },
5249 "link": null
5250 },
5251 {
5252 "localized_name": "mtp",
5253 "name": "mtp",
5254 "shape": 7,
5255 "type": "COMBO",
5256 "widget": {
5257 "name": "mtp"
5258 },
5259 "link": null
5260 }
5261 ],
5262 "outputs": [
5263 {
5264 "localized_name": "generated_text",
5265 "name": "generated_text",
5266 "type": "STRING",
5267 "links": [
5268 618
5269 ]
5270 },
5271 {
5272 "localized_name": "thinking",
5273 "name": "thinking",
5274 "type": "STRING",
5275 "links": []
5276 }
5277 ],
5278 "properties": {
5279 "cnr_id": "comfy-core",
5280 "ver": "0.38.0",
5281 "Node name for S&R": "TextGenerate"
5282 },
5283 "widgets_values": [
5284 "Make a very short description of the Character's appearance, including her hair, eyes' and outfit's color, and any very distinct identity anchors, no more than 15 words.",
5285 512,
5286 "on",
5287 0.7,
5288 64,
5289 0.95,
5290 0.05,
5291 1.05,
5292 0,
5293 0,
5294 true,
5295 true,
5296 "auto"
5297 ],
5298 "widgets_values_named": {
5299 "prompt": "Make a very short description of the Character's appearance, including her hair, eyes' and outfit's color, and any very distinct identity anchors, no more than 15 words.",
5300 "max_length": 512,
5301 "sampling_mode": "on",
5302 "sampling_mode.temperature": 0.7,
5303 "sampling_mode.top_k": 64,
5304 "sampling_mode.top_p": 0.95,
5305 "sampling_mode.min_p": 0.05,
5306 "sampling_mode.repetition_penalty": 1.05,
5307 "sampling_mode.seed": 0,
5308 "sampling_mode.presence_penalty": 0,
5309 "thinking": true,
5310 "use_default_template": true,
5311 "mtp": "auto"
5312 },
5313 "color": "#203E11FF",
5314 "bgcolor": "#305D1AFF"
5315 },
5316 {
5317 "id": 288,
5318 "type": "ComfyMathExpression",
5319 "pos": [
5320 -5570,
5321 -4460
5322 ],
5323 "size": [
5324 210,
5325 130
5326 ],
5327 "flags": [],
5328 "order": 9,
5329 "mode": 0,
5330 "inputs": [
5331 {
5332 "localized_name": "a",
5333 "name": "values.a",
5334 "type": "FLOAT,INT,BOOLEAN",
5335 "link": 614
5336 },
5337 {
5338 "localized_name": "b",
5339 "name": "values.b",
5340 "shape": 7,
5341 "type": "FLOAT,INT,BOOLEAN",
5342 "link": null
5343 },
5344 {
5345 "localized_name": "expression",
5346 "name": "expression",
5347 "type": "STRING",
5348 "widget": {
5349 "name": "expression"
5350 },
5351 "link": null
5352 }
5353 ],
5354 "outputs": [
5355 {
5356 "localized_name": "FLOAT",
5357 "name": "FLOAT",
5358 "type": "FLOAT",
5359 "links": []
5360 },
5361 {
5362 "localized_name": "INT",
5363 "name": "INT",
5364 "type": "INT",
5365 "links": [
5366 608
5367 ]
5368 },
5369 {
5370 "localized_name": "BOOL",
5371 "name": "BOOL",
5372 "type": "BOOLEAN",
5373 "links": []
5374 }
5375 ],
5376 "properties": {
5377 "cnr_id": "comfy-core",
5378 "ver": "0.38.0",
5379 "Node name for S&R": "ComfyMathExpression"
5380 },
5381 "widgets_values": [
5382 "a + 1"
5383 ],
5384 "widgets_values_named": {
5385 "expression": "a + 1"
5386 },
5387 "color": "#203E11FF",
5388 "bgcolor": "#305D1AFF"
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6299 "outputs": [
6300 {
6301 "localized_name": "generated_text",
6302 "name": "generated_text",
6303 "type": "STRING",
6304 "links": [
6305 588
6306 ]
6307 },
6308 {
6309 "localized_name": "thinking",
6310 "name": "thinking",
6311 "type": "STRING",
6312 "links": []
6313 }
6314 ],
6315 "properties": {
6316 "cnr_id": "comfy-core",
6317 "ver": "0.38.0",
6318 "Node name for S&R": "TextGenerate"
6319 },
6320 "widgets_values": [
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6323 "on",
6324 0.7,
6325 64,
6326 0.95,
6327 0.05,
6328 1.05,
6329 0,
6330 0,
6331 true,
6332 true,
6333 "auto"
6334 ],
6335 "widgets_values_named": {
6336 "prompt": "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
6337 "max_length": 512,
6338 "sampling_mode": "on",
6339 "sampling_mode.temperature": 0.7,
6340 "sampling_mode.top_k": 64,
6341 "sampling_mode.top_p": 0.95,
6342 "sampling_mode.min_p": 0.05,
6343 "sampling_mode.repetition_penalty": 1.05,
6344 "sampling_mode.seed": 0,
6345 "sampling_mode.presence_penalty": 0,
6346 "thinking": true,
6347 "use_default_template": true,
6348 "mtp": "auto"
6349 },
6350 "color": "#203E11FF",
6351 "bgcolor": "#305D1AFF"
6352 },
6353 {
6354 "id": 273,
6355 "type": "StringConcatenate",
6356 "pos": [
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6358 -4750
6359 ],
6360 "size": [
6361 400,
6362 200
6363 ],
6364 "flags": [],
6365 "order": 53,
6366 "mode": 0,
6367 "inputs": [
6368 {
6369 "localized_name": "string_a",
6370 "name": "string_a",
6371 "type": "STRING",
6372 "widget": {
6373 "name": "string_a"
6374 },
6375 "link": 584
6376 },
6377 {
6378 "localized_name": "string_b",
6379 "name": "string_b",
6380 "type": "STRING",
6381 "widget": {
6382 "name": "string_b"
6383 },
6384 "link": 585
6385 },
6386 {
6387 "localized_name": "delimiter",
6388 "name": "delimiter",
6389 "type": "STRING",
6390 "widget": {
6391 "name": "delimiter"
6392 },
6393 "link": null
6394 }
6395 ],
6396 "outputs": [
6397 {
6398 "localized_name": "STRING",
6399 "name": "STRING",
6400 "type": "STRING",
6401 "links": [
6402 586
6403 ]
6404 }
6405 ],
6406 "properties": {
6407 "cnr_id": "comfy-core",
6408 "ver": "0.38.0",
6409 "Node name for S&R": "StringConcatenate"
6410 },
6411 "widgets_values": [
6412 "",
6413 "",
6414 " "
6415 ],
6416 "widgets_values_named": {
6417 "string_a": "",
6418 "string_b": "",
6419 "delimiter": " "
6420 },
6421 "color": "#203E11FF",
6422 "bgcolor": "#305D1AFF"
6423 },
6424 {
6425 "id": 275,
6426 "type": "StringConcatenate",
6427 "pos": [
6428 -6580,
6429 -4770
6430 ],
6431 "size": [
6432 400,
6433 200
6434 ],
6435 "flags": [],
6436 "order": 18,
6437 "mode": 0,
6438 "inputs": [
6439 {
6440 "localized_name": "string_a",
6441 "name": "string_a",
6442 "type": "STRING",
6443 "widget": {
6444 "name": "string_a"
6445 },
6446 "link": null
6447 },
6448 {
6449 "localized_name": "string_b",
6450 "name": "string_b",
6451 "type": "STRING",
6452 "widget": {
6453 "name": "string_b"
6454 },
6455 "link": null
6456 },
6457 {
6458 "localized_name": "delimiter",
6459 "name": "delimiter",
6460 "type": "STRING",
6461 "widget": {
6462 "name": "delimiter"
6463 },
6464 "link": 591
6465 }
6466 ],
6467 "outputs": [
6468 {
6469 "localized_name": "STRING",
6470 "name": "STRING",
6471 "type": "STRING",
6472 "links": [
6473 587
6474 ]
6475 }
6476 ],
6477 "properties": {
6478 "cnr_id": "comfy-core",
6479 "ver": "0.38.0",
6480 "Node name for S&R": "StringConcatenate"
6481 },
6482 "widgets_values": [
6483 "<Subject ",
6484 "> ",
6485 ""
6486 ],
6487 "widgets_values_named": {
6488 "string_a": "<Subject ",
6489 "string_b": "> ",
6490 "delimiter": ""
6491 },
6492 "color": "#203E11FF",
6493 "bgcolor": "#305D1AFF"
6494 },
6495 {
6496 "id": 276,
6497 "type": "ComfyMathExpression",
6498 "pos": [
6499 -6820,
6500 -4300
6501 ],
6502 "size": [
6503 210,
6504 130
6505 ],
6506 "flags": [],
6507 "order": 7,
6508 "mode": 0,
6509 "inputs": [
6510 {
6511 "localized_name": "a",
6512 "name": "values.a",
6513 "type": "FLOAT,INT,BOOLEAN",
6514 "link": 596
6515 },
6516 {
6517 "localized_name": "b",
6518 "name": "values.b",
6519 "shape": 7,
6520 "type": "FLOAT,INT,BOOLEAN",
6521 "link": null
6522 },
6523 {
6524 "localized_name": "expression",
6525 "name": "expression",
6526 "type": "STRING",
6527 "widget": {
6528 "name": "expression"
6529 },
6530 "link": null
6531 }
6532 ],
6533 "outputs": [
6534 {
6535 "localized_name": "FLOAT",
6536 "name": "FLOAT",
6537 "type": "FLOAT",
6538 "links": []
6539 },
6540 {
6541 "localized_name": "INT",
6542 "name": "INT",
6543 "type": "INT",
6544 "links": [
6545 590
6546 ]
6547 },
6548 {
6549 "localized_name": "BOOL",
6550 "name": "BOOL",
6551 "type": "BOOLEAN",
6552 "links": []
6553 }
6554 ],
6555 "properties": {
6556 "cnr_id": "comfy-core",
6557 "ver": "0.38.0",
6558 "Node name for S&R": "ComfyMathExpression"
6559 },
6560 "widgets_values": [
6561 "a + 1"
6562 ],
6563 "widgets_values_named": {
6564 "expression": "a + 1"
6565 },
6566 "color": "#203E11FF",
6567 "bgcolor": "#305D1AFF"
6568 },
6569 {
6570 "id": 277,
6571 "type": "PreviewAny",
6572 "pos": [
6573 -6810,
6574 -4640
6575 ],
6576 "size": [
6577 210,
6578 130
6579 ],
6580 "flags": [],
6581 "order": 14,
6582 "mode": 0,
6583 "inputs": [
6584 {
6585 "localized_name": "source",
6586 "name": "source",
6587 "type": "*",
6588 "link": 590
6589 }
6590 ],
6591 "outputs": [
6592 {
6593 "localized_name": "STRING",
6594 "name": "STRING",
6595 "type": "STRING",
6596 "links": [
6597 591
6598 ]
6599 }
6600 ],
6601 "title": "subject",
6602 "properties": {
6603 "cnr_id": "comfy-core",
6604 "ver": "0.38.0",
6605 "Node name for S&R": "PreviewAny"
6606 },
6607 "widgets_values": [],
6608 "widgets_values_named": [],
6609 "color": "#203E11FF",
6610 "bgcolor": "#305D1AFF"
6611 },
6612 {
6613 "id": 278,
6614 "type": "PrimitiveInt",
6615 "pos": [
6616 -5630,
6617 -4610
6618 ],
6619 "size": [
6620 270,
6621 90
6622 ],
6623 "flags": [],
6624 "order": 1,
6625 "mode": 0,
6626 "inputs": [
6627 {
6628 "localized_name": "value",
6629 "name": "value",
6630 "type": "INT",
6631 "widget": {
6632 "name": "value"
6633 },
6634 "link": null
6635 }
6636 ],
6637 "outputs": [
6638 {
6639 "localized_name": "INT",
6640 "name": "INT",
6641 "type": "INT",
6642 "links": [
6643 597,
6644 614
6645 ]
6646 }
6647 ],
6648 "title": "Girl X (at least 1)",
6649 "properties": {
6650 "cnr_id": "comfy-core",
6651 "ver": "0.38.0",
6652 "Node name for S&R": "PrimitiveInt"
6653 },
6654 "widgets_values": [
6655 3,
6656 "fixed"
6657 ],
6658 "widgets_values_named": {
6659 "value": 3,
6660 "control_after_generate": "fixed"
6661 },
6662 "color": "#203E11FF",
6663 "bgcolor": "#305D1AFF"
6664 },
6665 {
6666 "id": 287,
6667 "type": "StringConcatenate",
6668 "pos": [
6669 -5330,
6670 -4750
6671 ],
6672 "size": [
6673 400,
6674 200
6675 ],
6676 "flags": [],
6677 "order": 19,
6678 "mode": 0,
6679 "inputs": [
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6681 "localized_name": "string_a",
6682 "name": "string_a",
6683 "type": "STRING",
6684 "widget": {
6685 "name": "string_a"
6686 },
6687 "link": null
6688 },
6689 {
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6691 "name": "string_b",
6692 "type": "STRING",
6693 "widget": {
6694 "name": "string_b"
6695 },
6696 "link": null
6697 },
6698 {
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6700 "name": "delimiter",
6701 "type": "STRING",
6702 "widget": {
6703 "name": "delimiter"
6704 },
6705 "link": 609
6706 }
6707 ],
6708 "outputs": [
6709 {
6710 "localized_name": "STRING",
6711 "name": "STRING",
6712 "type": "STRING",
6713 "links": [
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6715 ]
6716 }
6717 ],
6718 "properties": {
6719 "cnr_id": "comfy-core",
6720 "ver": "0.38.0",
6721 "Node name for S&R": "StringConcatenate"
6722 },
6723 "widgets_values": [
6724 "<Subject ",
6725 "> ",
6726 ""
6727 ],
6728 "widgets_values_named": {
6729 "string_a": "<Subject ",
6730 "string_b": "> ",
6731 "delimiter": ""
6732 },
6733 "color": "#203E11FF",
6734 "bgcolor": "#305D1AFF"
6735 },
6736 {
6737 "id": 290,
6738 "type": "PrimitiveInt",
6739 "pos": [
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6741 -4770
6742 ],
6743 "size": [
6744 270,
6745 90
6746 ],
6747 "flags": [],
6748 "order": 2,
6749 "mode": 0,
6750 "inputs": [
6751 {
6752 "localized_name": "value",
6753 "name": "value",
6754 "type": "INT",
6755 "widget": {
6756 "name": "value"
6757 },
6758 "link": null
6759 }
6760 ],
6761 "outputs": [
6762 {
6763 "localized_name": "INT",
6764 "name": "INT",
6765 "type": "INT",
6766 "links": [
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6768 632
6769 ]
6770 }
6771 ],
6772 "title": "Girl X (at least 1)",
6773 "properties": {
6774 "cnr_id": "comfy-core",
6775 "ver": "0.38.0",
6776 "Node name for S&R": "PrimitiveInt"
6777 },
6778 "widgets_values": [
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6780 "fixed"
6781 ],
6782 "widgets_values_named": {
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6784 "control_after_generate": "fixed"
6785 },
6786 "color": "#203E11FF",
6787 "bgcolor": "#305D1AFF"
6788 },
6789 {
6790 "id": 296,
6791 "type": "StringConcatenate",
6792 "pos": [
6793 -3510,
6794 -4780
6795 ],
6796 "size": [
6797 400,
6798 200
6799 ],
6800 "flags": [],
6801 "order": 66,
6802 "mode": 0,
6803 "inputs": [
6804 {
6805 "localized_name": "string_a",
6806 "name": "string_a",
6807 "type": "STRING",
6808 "widget": {
6809 "name": "string_a"
6810 },
6811 "link": 623
6812 },
6813 {
6814 "localized_name": "string_b",
6815 "name": "string_b",
6816 "type": "STRING",
6817 "widget": {
6818 "name": "string_b"
6819 },
6820 "link": 618
6821 },
6822 {
6823 "localized_name": "delimiter",
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6825 "type": "STRING",
6826 "widget": {
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6829 "link": null
6830 }
6831 ],
6832 "outputs": [
6833 {
6834 "localized_name": "STRING",
6835 "name": "STRING",
6836 "type": "STRING",
6837 "links": [
6838 620
6839 ]
6840 }
6841 ],
6842 "properties": {
6843 "cnr_id": "comfy-core",
6844 "ver": "0.38.0",
6845 "Node name for S&R": "StringConcatenate"
6846 },
6847 "widgets_values": [
6848 "> ",
6849 "",
6850 ""
6851 ],
6852 "widgets_values_named": {
6853 "string_a": "> ",
6854 "string_b": "",
6855 "delimiter": ""
6856 },
6857 "color": "#203E11FF",
6858 "bgcolor": "#305D1AFF"
6859 },
6860 {
6861 "id": 301,
6862 "type": "PreviewAny",
6863 "pos": [
6864 -4160,
6865 -4770
6866 ],
6867 "size": [
6868 210,
6869 130
6870 ],
6871 "flags": [],
6872 "order": 16,
6873 "mode": 0,
6874 "inputs": [
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6876 "localized_name": "source",
6877 "name": "source",
6878 "type": "*",
6879 "link": 626
6880 }
6881 ],
6882 "outputs": [
6883 {
6884 "localized_name": "STRING",
6885 "name": "STRING",
6886 "type": "STRING",
6887 "links": [
6888 627
6889 ]
6890 }
6891 ],
6892 "title": "subject",
6893 "properties": {
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6895 "ver": "0.38.0",
6896 "Node name for S&R": "PreviewAny"
6897 },
6898 "widgets_values": [],
6899 "widgets_values_named": [],
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6901 "bgcolor": "#305D1AFF"
6902 },
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6905 "type": "StringConcatenate",
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6908 -4770
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6912 200
6913 ],
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6916 "mode": 0,
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6926 },
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6935 },
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6944 }
6945 ],
6946 "outputs": [
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6949 "name": "STRING",
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6951 "links": [
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6953 ]
6954 }
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6959 "Node name for S&R": "StringConcatenate"
6960 },
6961 "widgets_values": [
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6963 "",
6964 ""
6965 ],
6966 "widgets_values_named": {
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6969 "delimiter": ""
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6997 }
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7006 206,
7007 230
7008 ]
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7015 "Node name for S&R": "PrimitiveStringMultiline"
7016 },
7017 "widgets_values": [
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7019 ],
7020 "widgets_values_named": {
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7022 },
7023 "color": "#222",
7024 "bgcolor": "#000"
7025 },
7026 {
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7028 "type": "StringConcatenate",
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7049 },
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7069 "outputs": [
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7099 "type": "StringConcatenate",
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7110 "mode": 0,
7111 "inputs": [
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7119 "link": 565
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7211 "outputs": [
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7214 "name": "STRING",
7215 "type": "STRING",
7216 "links": [
7217 570,
7218 571
7219 ]
7220 }
7221 ],
7222 "properties": {
7223 "cnr_id": "comfy-core",
7224 "ver": "0.38.0",
7225 "Node name for S&R": "StringConcatenate"
7226 },
7227 "widgets_values": [
7228 "",
7229 " ",
7230 " "
7231 ],
7232 "widgets_values_named": {
7233 "string_a": "",
7234 "string_b": " ",
7235 "delimiter": " "
7236 },
7237 "color": "#203E11FF",
7238 "bgcolor": "#305D1AFF"
7239 },
7240 {
7241 "id": 263,
7242 "type": "StringConcatenate",
7243 "pos": [
7244 -7750,
7245 -4510
7246 ],
7247 "size": [
7248 400,
7249 200
7250 ],
7251 "flags": [],
7252 "order": 21,
7253 "mode": 0,
7254 "inputs": [
7255 {
7256 "localized_name": "string_a",
7257 "name": "string_a",
7258 "type": "STRING",
7259 "widget": {
7260 "name": "string_a"
7261 },
7262 "link": null
7263 },
7264 {
7265 "localized_name": "string_b",
7266 "name": "string_b",
7267 "type": "STRING",
7268 "widget": {
7269 "name": "string_b"
7270 },
7271 "link": null
7272 },
7273 {
7274 "localized_name": "delimiter",
7275 "name": "delimiter",
7276 "type": "STRING",
7277 "widget": {
7278 "name": "delimiter"
7279 },
7280 "link": 573
7281 }
7282 ],
7283 "outputs": [
7284 {
7285 "localized_name": "STRING",
7286 "name": "STRING",
7287 "type": "STRING",
7288 "links": [
7289 568
7290 ]
7291 }
7292 ],
7293 "properties": {
7294 "cnr_id": "comfy-core",
7295 "ver": "0.38.0",
7296 "Node name for S&R": "StringConcatenate"
7297 },
7298 "widgets_values": [
7299 "<Subject ",
7300 "> ",
7301 ""
7302 ],
7303 "widgets_values_named": {
7304 "string_a": "<Subject ",
7305 "string_b": "> ",
7306 "delimiter": ""
7307 },
7308 "color": "#203E11FF",
7309 "bgcolor": "#305D1AFF"
7310 },
7311 {
7312 "id": 122,
7313 "type": "StringConcatenate",
7314 "pos": [
7315 -7680,
7316 -3580
7317 ],
7318 "size": [
7319 210,
7320 170
7321 ],
7322 "flags": [],
7323 "order": 24,
7324 "mode": 0,
7325 "inputs": [
7326 {
7327 "localized_name": "string_a",
7328 "name": "string_a",
7329 "type": "STRING",
7330 "widget": {
7331 "name": "string_a"
7332 },
7333 "link": 231
7334 },
7335 {
7336 "localized_name": "string_b",
7337 "name": "string_b",
7338 "type": "STRING",
7339 "widget": {
7340 "name": "string_b"
7341 },
7342 "link": 625
7343 },
7344 {
7345 "localized_name": "delimiter",
7346 "name": "delimiter",
7347 "type": "STRING",
7348 "widget": {
7349 "name": "delimiter"
7350 },
7351 "link": 230
7352 }
7353 ],
7354 "outputs": [
7355 {
7356 "localized_name": "STRING",
7357 "name": "STRING",
7358 "type": "STRING",
7359 "links": [
7360 509
7361 ]
7362 }
7363 ],
7364 "properties": {
7365 "cnr_id": "comfy-core",
7366 "ver": "0.38.0",
7367 "Node name for S&R": "StringConcatenate"
7368 },
7369 "widgets_values": [
7370 "",
7371 "",
7372 ""
7373 ],
7374 "widgets_values_named": {
7375 "string_a": "",
7376 "string_b": "",
7377 "delimiter": ""
7378 },
7379 "color": "#222",
7380 "bgcolor": "#000"
7381 },
7382 {
7383 "id": 110,
7384 "type": "StringConcatenate",
7385 "pos": [
7386 -7900,
7387 -3580
7388 ],
7389 "size": [
7390 210,
7391 170
7392 ],
7393 "flags": [],
7394 "order": 23,
7395 "mode": 0,
7396 "inputs": [
7397 {
7398 "localized_name": "string_a",
7399 "name": "string_a",
7400 "type": "STRING",
7401 "widget": {
7402 "name": "string_a"
7403 },
7404 "link": 203
7405 },
7406 {
7407 "localized_name": "string_b",
7408 "name": "string_b",
7409 "type": "STRING",
7410 "widget": {
7411 "name": "string_b"
7412 },
7413 "link": 607
7414 },
7415 {
7416 "localized_name": "delimiter",
7417 "name": "delimiter",
7418 "type": "STRING",
7419 "widget": {
7420 "name": "delimiter"
7421 },
7422 "link": 206
7423 }
7424 ],
7425 "outputs": [
7426 {
7427 "localized_name": "STRING",
7428 "name": "STRING",
7429 "type": "STRING",
7430 "links": [
7431 231,
7432 507
7433 ]
7434 }
7435 ],
7436 "properties": {
7437 "cnr_id": "comfy-core",
7438 "ver": "0.38.0",
7439 "Node name for S&R": "StringConcatenate"
7440 },
7441 "widgets_values": [
7442 "",
7443 "",
7444 ""
7445 ],
7446 "widgets_values_named": {
7447 "string_a": "",
7448 "string_b": "",
7449 "delimiter": ""
7450 },
7451 "color": "#222",
7452 "bgcolor": "#000"
7453 },
7454 {
7455 "id": 258,
7456 "type": "TextGenerate",
7457 "pos": [
7458 -8170,
7459 -4750
7460 ],
7461 "size": [
7462 400,
7463 490
7464 ],
7465 "flags": [],
7466 "order": 43,
7467 "mode": 0,
7468 "inputs": [
7469 {
7470 "localized_name": "clip",
7471 "name": "clip",
7472 "type": "CLIP",
7473 "link": 574
7474 },
7475 {
7476 "localized_name": "image",
7477 "name": "image",
7478 "shape": 7,
7479 "type": "IMAGE",
7480 "link": 575
7481 },
7482 {
7483 "localized_name": "video",
7484 "name": "video",
7485 "shape": 7,
7486 "type": "IMAGE",
7487 "link": null
7488 },
7489 {
7490 "localized_name": "audio",
7491 "name": "audio",
7492 "shape": 7,
7493 "type": "AUDIO",
7494 "link": null
7495 },
7496 {
7497 "localized_name": "system_prompt",
7498 "name": "system_prompt",
7499 "shape": 7,
7500 "type": "STRING",
7501 "link": null
7502 },
7503 {
7504 "localized_name": "prompt",
7505 "name": "prompt",
7506 "type": "STRING",
7507 "widget": {
7508 "name": "prompt"
7509 },
7510 "link": null
7511 },
7512 {
7513 "localized_name": "max_length",
7514 "name": "max_length",
7515 "type": "INT",
7516 "widget": {
7517 "name": "max_length"
7518 },
7519 "link": null
7520 },
7521 {
7522 "localized_name": "Sampling Mode",
7523 "name": "sampling_mode",
7524 "type": "COMFY_DYNAMICCOMBO_V3",
7525 "widget": {
7526 "name": "sampling_mode"
7527 },
7528 "link": null
7529 },
7530 {
7531 "localized_name": "temperature",
7532 "name": "sampling_mode.temperature",
7533 "type": "FLOAT",
7534 "widget": {
7535 "name": "sampling_mode.temperature"
7536 },
7537 "link": null
7538 },
7539 {
7540 "localized_name": "top_k",
7541 "name": "sampling_mode.top_k",
7542 "type": "INT",
7543 "widget": {
7544 "name": "sampling_mode.top_k"
7545 },
7546 "link": null
7547 },
7548 {
7549 "localized_name": "top_p",
7550 "name": "sampling_mode.top_p",
7551 "type": "FLOAT",
7552 "widget": {
7553 "name": "sampling_mode.top_p"
7554 },
7555 "link": null
7556 },
7557 {
7558 "localized_name": "min_p",
7559 "name": "sampling_mode.min_p",
7560 "type": "FLOAT",
7561 "widget": {
7562 "name": "sampling_mode.min_p"
7563 },
7564 "link": null
7565 },
7566 {
7567 "localized_name": "repetition_penalty",
7568 "name": "sampling_mode.repetition_penalty",
7569 "type": "FLOAT",
7570 "widget": {
7571 "name": "sampling_mode.repetition_penalty"
7572 },
7573 "link": null
7574 },
7575 {
7576 "localized_name": "seed",
7577 "name": "sampling_mode.seed",
7578 "type": "INT",
7579 "widget": {
7580 "name": "sampling_mode.seed"
7581 },
7582 "link": null
7583 },
7584 {
7585 "localized_name": "presence_penalty",
7586 "name": "sampling_mode.presence_penalty",
7587 "shape": 7,
7588 "type": "FLOAT",
7589 "widget": {
7590 "name": "sampling_mode.presence_penalty"
7591 },
7592 "link": null
7593 },
7594 {
7595 "localized_name": "thinking",
7596 "name": "thinking",
7597 "shape": 7,
7598 "type": "BOOLEAN",
7599 "widget": {
7600 "name": "thinking"
7601 },
7602 "link": null
7603 },
7604 {
7605 "localized_name": "use_default_template",
7606 "name": "use_default_template",
7607 "shape": 7,
7608 "type": "BOOLEAN",
7609 "widget": {
7610 "name": "use_default_template"
7611 },
7612 "link": null
7613 },
7614 {
7615 "localized_name": "mtp",
7616 "name": "mtp",
7617 "shape": 7,
7618 "type": "COMBO",
7619 "widget": {
7620 "name": "mtp"
7621 },
7622 "link": null
7623 }
7624 ],
7625 "outputs": [
7626 {
7627 "localized_name": "generated_text",
7628 "name": "generated_text",
7629 "type": "STRING",
7630 "links": [
7631 563
7632 ]
7633 },
7634 {
7635 "localized_name": "thinking",
7636 "name": "thinking",
7637 "type": "STRING",
7638 "links": []
7639 }
7640 ],
7641 "properties": {
7642 "cnr_id": "comfy-core",
7643 "ver": "0.38.0",
7644 "Node name for S&R": "TextGenerate"
7645 },
7646 "widgets_values": [
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7648 512,
7649 "on",
7650 0.7,
7651 64,
7652 0.95,
7653 0.05,
7654 1.05,
7655 0,
7656 0,
7657 true,
7658 true,
7659 "auto"
7660 ],
7661 "widgets_values_named": {
7662 "prompt": "Make a very short description of the Character's appearance, including her hair, eyes' and outfit's color, and any very distinct identity anchors, no more than 15 words.",
7663 "max_length": 512,
7664 "sampling_mode": "on",
7665 "sampling_mode.temperature": 0.7,
7666 "sampling_mode.top_k": 64,
7667 "sampling_mode.top_p": 0.95,
7668 "sampling_mode.min_p": 0.05,
7669 "sampling_mode.repetition_penalty": 1.05,
7670 "sampling_mode.seed": 0,
7671 "sampling_mode.presence_penalty": 0,
7672 "thinking": true,
7673 "use_default_template": true,
7674 "mtp": "auto"
7675 },
7676 "color": "#203E11FF",
7677 "bgcolor": "#305D1AFF"
7678 },
7679 {
7680 "id": 259,
7681 "type": "TextGenerate",
7682 "pos": [
7683 -8160,
7684 -4200
7685 ],
7686 "size": [
7687 400,
7688 490
7689 ],
7690 "flags": [],
7691 "order": 44,
7692 "mode": 0,
7693 "inputs": [
7694 {
7695 "localized_name": "clip",
7696 "name": "clip",
7697 "type": "CLIP",
7698 "link": 576
7699 },
7700 {
7701 "localized_name": "image",
7702 "name": "image",
7703 "shape": 7,
7704 "type": "IMAGE",
7705 "link": null
7706 },
7707 {
7708 "localized_name": "video",
7709 "name": "video",
7710 "shape": 7,
7711 "type": "IMAGE",
7712 "link": null
7713 },
7714 {
7715 "localized_name": "audio",
7716 "name": "audio",
7717 "shape": 7,
7718 "type": "AUDIO",
7719 "link": null
7720 },
7721 {
7722 "localized_name": "system_prompt",
7723 "name": "system_prompt",
7724 "shape": 7,
7725 "type": "STRING",
7726 "link": null
7727 },
7728 {
7729 "localized_name": "prompt",
7730 "name": "prompt",
7731 "type": "STRING",
7732 "widget": {
7733 "name": "prompt"
7734 },
7735 "link": 577
7736 },
7737 {
7738 "localized_name": "max_length",
7739 "name": "max_length",
7740 "type": "INT",
7741 "widget": {
7742 "name": "max_length"
7743 },
7744 "link": null
7745 },
7746 {
7747 "localized_name": "Sampling Mode",
7748 "name": "sampling_mode",
7749 "type": "COMFY_DYNAMICCOMBO_V3",
7750 "widget": {
7751 "name": "sampling_mode"
7752 },
7753 "link": null
7754 },
7755 {
7756 "localized_name": "temperature",
7757 "name": "sampling_mode.temperature",
7758 "type": "FLOAT",
7759 "widget": {
7760 "name": "sampling_mode.temperature"
7761 },
7762 "link": null
7763 },
7764 {
7765 "localized_name": "top_k",
7766 "name": "sampling_mode.top_k",
7767 "type": "INT",
7768 "widget": {
7769 "name": "sampling_mode.top_k"
7770 },
7771 "link": null
7772 },
7773 {
7774 "localized_name": "top_p",
7775 "name": "sampling_mode.top_p",
7776 "type": "FLOAT",
7777 "widget": {
7778 "name": "sampling_mode.top_p"
7779 },
7780 "link": null
7781 },
7782 {
7783 "localized_name": "min_p",
7784 "name": "sampling_mode.min_p",
7785 "type": "FLOAT",
7786 "widget": {
7787 "name": "sampling_mode.min_p"
7788 },
7789 "link": null
7790 },
7791 {
7792 "localized_name": "repetition_penalty",
7793 "name": "sampling_mode.repetition_penalty",
7794 "type": "FLOAT",
7795 "widget": {
7796 "name": "sampling_mode.repetition_penalty"
7797 },
7798 "link": null
7799 },
7800 {
7801 "localized_name": "seed",
7802 "name": "sampling_mode.seed",
7803 "type": "INT",
7804 "widget": {
7805 "name": "sampling_mode.seed"
7806 },
7807 "link": null
7808 },
7809 {
7810 "localized_name": "presence_penalty",
7811 "name": "sampling_mode.presence_penalty",
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7813 "type": "FLOAT",
7814 "widget": {
7815 "name": "sampling_mode.presence_penalty"
7816 },
7817 "link": null
7818 },
7819 {
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7821 "name": "thinking",
7822 "shape": 7,
7823 "type": "BOOLEAN",
7824 "widget": {
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7826 },
7827 "link": null
7828 },
7829 {
7830 "localized_name": "use_default_template",
7831 "name": "use_default_template",
7832 "shape": 7,
7833 "type": "BOOLEAN",
7834 "widget": {
7835 "name": "use_default_template"
7836 },
7837 "link": null
7838 },
7839 {
7840 "localized_name": "mtp",
7841 "name": "mtp",
7842 "shape": 7,
7843 "type": "COMBO",
7844 "widget": {
7845 "name": "mtp"
7846 },
7847 "link": null
7848 }
7849 ],
7850 "outputs": [
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7853 "name": "generated_text",
7854 "type": "STRING",
7855 "links": [
7856 569
7857 ]
7858 },
7859 {
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7861 "name": "thinking",
7862 "type": "STRING",
7863 "links": []
7864 }
7865 ],
7866 "properties": {
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7868 "ver": "0.38.0",
7869 "Node name for S&R": "TextGenerate"
7870 },
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7874 "on",
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7877 0.95,
7878 0.05,
7879 1.05,
7880 0,
7881 0,
7882 true,
7883 true,
7884 "auto"
7885 ],
7886 "widgets_values_named": {
7887 "prompt": "Briefly describe all the characters' poses and positions on the background.\n\nAfter format this for a character swap.\n\nExample output format:\n[Girl 1] is the character [on the left of the screen] [pose] - completely remove Girl 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Girl 2] is the character [on the left of the screen] [pose] - completely remove Girl 2 and replace with <Subject 3> to match the identity established by <Picture 3>.",
7888 "max_length": 512,
7889 "sampling_mode": "on",
7890 "sampling_mode.temperature": 0.7,
7891 "sampling_mode.top_k": 64,
7892 "sampling_mode.top_p": 0.95,
7893 "sampling_mode.min_p": 0.05,
7894 "sampling_mode.repetition_penalty": 1.05,
7895 "sampling_mode.seed": 0,
7896 "sampling_mode.presence_penalty": 0,
7897 "thinking": true,
7898 "use_default_template": true,
7899 "mtp": "auto"
7900 },
7901 "color": "#203E11FF",
7902 "bgcolor": "#305D1AFF"
7903 },
7904 {
7905 "id": 72,
7906 "type": "StringConcatenate",
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7909 -3580
7910 ],
7911 "size": [
7912 210,
7913 170
7914 ],
7915 "flags": [],
7916 "order": 22,
7917 "mode": 0,
7918 "inputs": [
7919 {
7920 "localized_name": "string_a",
7921 "name": "string_a",
7922 "type": "STRING",
7923 "widget": {
7924 "name": "string_a"
7925 },
7926 "link": 570
7927 },
7928 {
7929 "localized_name": "string_b",
7930 "name": "string_b",
7931 "type": "STRING",
7932 "widget": {
7933 "name": "string_b"
7934 },
7935 "link": 589
7936 },
7937 {
7938 "localized_name": "delimiter",
7939 "name": "delimiter",
7940 "type": "STRING",
7941 "widget": {
7942 "name": "delimiter"
7943 },
7944 "link": 137
7945 }
7946 ],
7947 "outputs": [
7948 {
7949 "localized_name": "STRING",
7950 "name": "STRING",
7951 "type": "STRING",
7952 "links": [
7953 203,
7954 505
7955 ]
7956 }
7957 ],
7958 "properties": {
7959 "cnr_id": "comfy-core",
7960 "ver": "0.38.0",
7961 "Node name for S&R": "StringConcatenate"
7962 },
7963 "widgets_values": [
7964 "",
7965 "",
7966 ""
7967 ],
7968 "widgets_values_named": {
7969 "string_a": "",
7970 "string_b": "",
7971 "delimiter": ""
7972 },
7973 "color": "#222",
7974 "bgcolor": "#000"
7975 },
7976 {
7977 "id": 255,
7978 "type": "PreviewAny",
7979 "pos": [
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7981 -4370
7982 ],
7983 "size": [
7984 210,
7985 130
7986 ],
7987 "flags": [],
7988 "order": 12,
7989 "mode": 0,
7990 "inputs": [
7991 {
7992 "localized_name": "source",
7993 "name": "source",
7994 "type": "*",
7995 "link": 560
7996 }
7997 ],
7998 "outputs": [
7999 {
8000 "localized_name": "STRING",
8001 "name": "STRING",
8002 "type": "STRING",
8003 "links": [
8004 562
8005 ]
8006 }
8007 ],
8008 "properties": {
8009 "cnr_id": "comfy-core",
8010 "ver": "0.38.0",
8011 "Node name for S&R": "PreviewAny"
8012 },
8013 "widgets_values": [],
8014 "widgets_values_named": [],
8015 "color": "#203E11FF",
8016 "bgcolor": "#305D1AFF"
8017 },
8018 {
8019 "id": 257,
8020 "type": "StringReplace",
8021 "pos": [
8022 -8400,
8023 -4200
8024 ],
8025 "size": [
8026 210,
8027 200
8028 ],
8029 "flags": [],
8030 "order": 42,
8031 "mode": 0,
8032 "inputs": [
8033 {
8034 "localized_name": "string",
8035 "name": "string",
8036 "type": "STRING",
8037 "widget": {
8038 "name": "string"
8039 },
8040 "link": 561
8041 },
8042 {
8043 "localized_name": "find",
8044 "name": "find",
8045 "type": "STRING",
8046 "widget": {
8047 "name": "find"
8048 },
8049 "link": null
8050 },
8051 {
8052 "localized_name": "replace",
8053 "name": "replace",
8054 "type": "STRING",
8055 "widget": {
8056 "name": "replace"
8057 },
8058 "link": 562
8059 }
8060 ],
8061 "outputs": [
8062 {
8063 "localized_name": "STRING",
8064 "name": "STRING",
8065 "type": "STRING",
8066 "links": [
8067 577
8068 ]
8069 }
8070 ],
8071 "properties": {
8072 "cnr_id": "comfy-core",
8073 "ver": "0.38.0",
8074 "Node name for S&R": "StringReplace"
8075 },
8076 "widgets_values": [
8077 "",
8078 "#",
8079 ""
8080 ],
8081 "widgets_values_named": {
8082 "string": "",
8083 "find": "#",
8084 "replace": ""
8085 },
8086 "color": "#203E11FF",
8087 "bgcolor": "#305D1AFF"
8088 },
8089 {
8090 "id": 264,
8091 "type": "ComfyMathExpression",
8092 "pos": [
8093 -8400,
8094 -4540
8095 ],
8096 "size": [
8097 210,
8098 130
8099 ],
8100 "flags": [],
8101 "order": 13,
8102 "mode": 0,
8103 "inputs": [
8104 {
8105 "localized_name": "a",
8106 "name": "values.a",
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10901 "name": "sampling_mode.top_p",
10902 "type": "FLOAT",
10903 "widget": {
10904 "name": "sampling_mode.top_p"
10905 },
10906 "link": null
10907 },
10908 {
10909 "localized_name": "min_p",
10910 "name": "sampling_mode.min_p",
10911 "type": "FLOAT",
10912 "widget": {
10913 "name": "sampling_mode.min_p"
10914 },
10915 "link": null
10916 },
10917 {
10918 "localized_name": "repetition_penalty",
10919 "name": "sampling_mode.repetition_penalty",
10920 "type": "FLOAT",
10921 "widget": {
10922 "name": "sampling_mode.repetition_penalty"
10923 },
10924 "link": null
10925 },
10926 {
10927 "localized_name": "seed",
10928 "name": "sampling_mode.seed",
10929 "type": "INT",
10930 "widget": {
10931 "name": "sampling_mode.seed"
10932 },
10933 "link": null
10934 },
10935 {
10936 "localized_name": "presence_penalty",
10937 "name": "sampling_mode.presence_penalty",
10938 "shape": 7,
10939 "type": "FLOAT",
10940 "widget": {
10941 "name": "sampling_mode.presence_penalty"
10942 },
10943 "link": null
10944 },
10945 {
10946 "localized_name": "thinking",
10947 "name": "thinking",
10948 "shape": 7,
10949 "type": "BOOLEAN",
10950 "widget": {
10951 "name": "thinking"
10952 },
10953 "link": null
10954 },
10955 {
10956 "localized_name": "use_default_template",
10957 "name": "use_default_template",
10958 "shape": 7,
10959 "type": "BOOLEAN",
10960 "widget": {
10961 "name": "use_default_template"
10962 },
10963 "link": null
10964 },
10965 {
10966 "localized_name": "mtp",
10967 "name": "mtp",
10968 "shape": 7,
10969 "type": "COMBO",
10970 "widget": {
10971 "name": "mtp"
10972 },
10973 "link": null
10974 }
10975 ],
10976 "outputs": [
10977 {
10978 "localized_name": "generated_text",
10979 "name": "generated_text",
10980 "type": "STRING",
10981 "links": [
10982 3
10983 ]
10984 },
10985 {
10986 "localized_name": "thinking",
10987 "name": "thinking",
10988 "type": "STRING",
10989 "links": []
10990 }
10991 ],
10992 "properties": {
10993 "cnr_id": "comfy-core",
10994 "ver": "0.38.0",
10995 "Node name for S&R": "TextGenerate"
10996 },
10997 "widgets_values": [
10998 "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n",
10999 512,
11000 "on",
11001 0.7,
11002 64,
11003 0.95,
11004 0.05,
11005 1.05,
11006 354,
11007 0,
11008 true,
11009 true,
11010 "auto"
11011 ],
11012 "widgets_values_named": {
11013 "prompt": "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n",
11014 "max_length": 512,
11015 "sampling_mode": "on",
11016 "sampling_mode.temperature": 0.7,
11017 "sampling_mode.top_k": 64,
11018 "sampling_mode.top_p": 0.95,
11019 "sampling_mode.min_p": 0.05,
11020 "sampling_mode.repetition_penalty": 1.05,
11021 "sampling_mode.seed": 354,
11022 "sampling_mode.presence_penalty": 0,
11023 "thinking": true,
11024 "use_default_template": true,
11025 "mtp": "auto"
11026 },
11027 "color": "#222",
11028 "bgcolor": "#000"
11029 },
11030 {
11031 "id": 21,
11032 "type": "TextGenerate",
11033 "pos": [
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11035 -4260
11036 ],
11037 "size": [
11038 400,
11039 490
11040 ],
11041 "flags": [],
11042 "order": 5,
11043 "mode": 0,
11044 "inputs": [
11045 {
11046 "localized_name": "clip",
11047 "name": "clip",
11048 "type": "CLIP",
11049 "link": 30
11050 },
11051 {
11052 "localized_name": "image",
11053 "name": "image",
11054 "shape": 7,
11055 "type": "IMAGE",
11056 "link": 32
11057 },
11058 {
11059 "localized_name": "video",
11060 "name": "video",
11061 "shape": 7,
11062 "type": "IMAGE",
11063 "link": null
11064 },
11065 {
11066 "localized_name": "audio",
11067 "name": "audio",
11068 "shape": 7,
11069 "type": "AUDIO",
11070 "link": null
11071 },
11072 {
11073 "localized_name": "system_prompt",
11074 "name": "system_prompt",
11075 "shape": 7,
11076 "type": "STRING",
11077 "link": null
11078 },
11079 {
11080 "localized_name": "prompt",
11081 "name": "prompt",
11082 "type": "STRING",
11083 "widget": {
11084 "name": "prompt"
11085 },
11086 "link": 521
11087 },
11088 {
11089 "localized_name": "max_length",
11090 "name": "max_length",
11091 "type": "INT",
11092 "widget": {
11093 "name": "max_length"
11094 },
11095 "link": null
11096 },
11097 {
11098 "localized_name": "Sampling Mode",
11099 "name": "sampling_mode",
11100 "type": "COMFY_DYNAMICCOMBO_V3",
11101 "widget": {
11102 "name": "sampling_mode"
11103 },
11104 "link": null
11105 },
11106 {
11107 "localized_name": "temperature",
11108 "name": "sampling_mode.temperature",
11109 "type": "FLOAT",
11110 "widget": {
11111 "name": "sampling_mode.temperature"
11112 },
11113 "link": null
11114 },
11115 {
11116 "localized_name": "top_k",
11117 "name": "sampling_mode.top_k",
11118 "type": "INT",
11119 "widget": {
11120 "name": "sampling_mode.top_k"
11121 },
11122 "link": null
11123 },
11124 {
11125 "localized_name": "top_p",
11126 "name": "sampling_mode.top_p",
11127 "type": "FLOAT",
11128 "widget": {
11129 "name": "sampling_mode.top_p"
11130 },
11131 "link": null
11132 },
11133 {
11134 "localized_name": "min_p",
11135 "name": "sampling_mode.min_p",
11136 "type": "FLOAT",
11137 "widget": {
11138 "name": "sampling_mode.min_p"
11139 },
11140 "link": null
11141 },
11142 {
11143 "localized_name": "repetition_penalty",
11144 "name": "sampling_mode.repetition_penalty",
11145 "type": "FLOAT",
11146 "widget": {
11147 "name": "sampling_mode.repetition_penalty"
11148 },
11149 "link": null
11150 },
11151 {
11152 "localized_name": "seed",
11153 "name": "sampling_mode.seed",
11154 "type": "INT",
11155 "widget": {
11156 "name": "sampling_mode.seed"
11157 },
11158 "link": null
11159 },
11160 {
11161 "localized_name": "presence_penalty",
11162 "name": "sampling_mode.presence_penalty",
11163 "shape": 7,
11164 "type": "FLOAT",
11165 "widget": {
11166 "name": "sampling_mode.presence_penalty"
11167 },
11168 "link": null
11169 },
11170 {
11171 "localized_name": "thinking",
11172 "name": "thinking",
11173 "shape": 7,
11174 "type": "BOOLEAN",
11175 "widget": {
11176 "name": "thinking"
11177 },
11178 "link": null
11179 },
11180 {
11181 "localized_name": "use_default_template",
11182 "name": "use_default_template",
11183 "shape": 7,
11184 "type": "BOOLEAN",
11185 "widget": {
11186 "name": "use_default_template"
11187 },
11188 "link": null
11189 },
11190 {
11191 "localized_name": "mtp",
11192 "name": "mtp",
11193 "shape": 7,
11194 "type": "COMBO",
11195 "widget": {
11196 "name": "mtp"
11197 },
11198 "link": null
11199 }
11200 ],
11201 "outputs": [
11202 {
11203 "localized_name": "generated_text",
11204 "name": "generated_text",
11205 "type": "STRING",
11206 "links": [
11207 28
11208 ]
11209 },
11210 {
11211 "localized_name": "thinking",
11212 "name": "thinking",
11213 "type": "STRING",
11214 "links": []
11215 }
11216 ],
11217 "properties": {
11218 "cnr_id": "comfy-core",
11219 "ver": "0.38.0",
11220 "Node name for S&R": "TextGenerate"
11221 },
11222 "widgets_values": [
11223 "Count the characters, and for each character create a subject definition block. Do not describe the characters' appearance. \nThe first character (character 1) will be subject 2 using Picture 2. If there is a single character only, then only make 1 character's block.\nInclude every characters. Don't include characters if you're unsure of them.\n\nUse this format:\n<Subject X+1> is Girl X, matching <Picture X+1>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\nExample output:\n\n<Subject 2> is Character 1, matching <Picture 2>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n<Subject 3> is Character 2, matching <Picture 3>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n",
11224 512,
11225 "on",
11226 0.7,
11227 64,
11228 0.95,
11229 0.05,
11230 1.05,
11231 118,
11232 0,
11233 true,
11234 true,
11235 "auto"
11236 ],
11237 "widgets_values_named": {
11238 "prompt": "Count the characters, and for each character create a subject definition block. Do not describe the characters' appearance. \nThe first character (character 1) will be subject 2 using Picture 2. If there is a single character only, then only make 1 character's block.\nInclude every characters. Don't include characters if you're unsure of them.\n\nUse this format:\n<Subject X+1> is Girl X, matching <Picture X+1>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\nExample output:\n\n<Subject 2> is Character 1, matching <Picture 2>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n<Subject 3> is Character 2, matching <Picture 3>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n",
11239 "max_length": 512,
11240 "sampling_mode": "on",
11241 "sampling_mode.temperature": 0.7,
11242 "sampling_mode.top_k": 64,
11243 "sampling_mode.top_p": 0.95,
11244 "sampling_mode.min_p": 0.05,
11245 "sampling_mode.repetition_penalty": 1.05,
11246 "sampling_mode.seed": 118,
11247 "sampling_mode.presence_penalty": 0,
11248 "thinking": true,
11249 "use_default_template": true,
11250 "mtp": "auto"
11251 },
11252 "color": "#222",
11253 "bgcolor": "#000"
11254 },
11255 {
11256 "id": 57,
11257 "type": "StringReplace",
11258 "pos": [
11259 -10030,
11260 -3810
11261 ],
11262 "size": [
11263 400,
11264 200
11265 ],
11266 "flags": [],
11267 "order": 10,
11268 "mode": 0,
11269 "inputs": [
11270 {
11271 "localized_name": "string",
11272 "name": "string",
11273 "type": "STRING",
11274 "widget": {
11275 "name": "string"
11276 },
11277 "link": 101
11278 },
11279 {
11280 "localized_name": "find",
11281 "name": "find",
11282 "type": "STRING",
11283 "widget": {
11284 "name": "find"
11285 },
11286 "link": null
11287 },
11288 {
11289 "localized_name": "replace",
11290 "name": "replace",
11291 "type": "STRING",
11292 "widget": {
11293 "name": "replace"
11294 },
11295 "link": 648
11296 }
11297 ],
11298 "outputs": [
11299 {
11300 "localized_name": "STRING",
11301 "name": "STRING",
11302 "type": "STRING",
11303 "links": [
11304 378
11305 ]
11306 }
11307 ],
11308 "properties": {
11309 "cnr_id": "comfy-core",
11310 "ver": "0.38.0",
11311 "Node name for S&R": "StringReplace"
11312 },
11313 "widgets_values": [
11314 "",
11315 "__chars__",
11316 ""
11317 ],
11318 "widgets_values_named": {
11319 "string": "",
11320 "find": "__chars__",
11321 "replace": ""
11322 },
11323 "color": "#222",
11324 "bgcolor": "#000"
11325 },
11326 {
11327 "id": 31,
11328 "type": "TextGenerate",
11329 "pos": [
11330 -10800,
11331 -3720
11332 ],
11333 "size": [
11334 400,
11335 490
11336 ],
11337 "flags": [],
11338 "order": 8,
11339 "mode": 0,
11340 "inputs": [
11341 {
11342 "localized_name": "clip",
11343 "name": "clip",
11344 "type": "CLIP",
11345 "link": 40
11346 },
11347 {
11348 "localized_name": "image",
11349 "name": "image",
11350 "shape": 7,
11351 "type": "IMAGE",
11352 "link": 41
11353 },
11354 {
11355 "localized_name": "video",
11356 "name": "video",
11357 "shape": 7,
11358 "type": "IMAGE",
11359 "link": null
11360 },
11361 {
11362 "localized_name": "audio",
11363 "name": "audio",
11364 "shape": 7,
11365 "type": "AUDIO",
11366 "link": null
11367 },
11368 {
11369 "localized_name": "system_prompt",
11370 "name": "system_prompt",
11371 "shape": 7,
11372 "type": "STRING",
11373 "link": null
11374 },
11375 {
11376 "localized_name": "prompt",
11377 "name": "prompt",
11378 "type": "STRING",
11379 "widget": {
11380 "name": "prompt"
11381 },
11382 "link": 520
11383 },
11384 {
11385 "localized_name": "max_length",
11386 "name": "max_length",
11387 "type": "INT",
11388 "widget": {
11389 "name": "max_length"
11390 },
11391 "link": null
11392 },
11393 {
11394 "localized_name": "Sampling Mode",
11395 "name": "sampling_mode",
11396 "type": "COMFY_DYNAMICCOMBO_V3",
11397 "widget": {
11398 "name": "sampling_mode"
11399 },
11400 "link": null
11401 },
11402 {
11403 "localized_name": "temperature",
11404 "name": "sampling_mode.temperature",
11405 "type": "FLOAT",
11406 "widget": {
11407 "name": "sampling_mode.temperature"
11408 },
11409 "link": null
11410 },
11411 {
11412 "localized_name": "top_k",
11413 "name": "sampling_mode.top_k",
11414 "type": "INT",
11415 "widget": {
11416 "name": "sampling_mode.top_k"
11417 },
11418 "link": null
11419 },
11420 {
11421 "localized_name": "top_p",
11422 "name": "sampling_mode.top_p",
11423 "type": "FLOAT",
11424 "widget": {
11425 "name": "sampling_mode.top_p"
11426 },
11427 "link": null
11428 },
11429 {
11430 "localized_name": "min_p",
11431 "name": "sampling_mode.min_p",
11432 "type": "FLOAT",
11433 "widget": {
11434 "name": "sampling_mode.min_p"
11435 },
11436 "link": null
11437 },
11438 {
11439 "localized_name": "repetition_penalty",
11440 "name": "sampling_mode.repetition_penalty",
11441 "type": "FLOAT",
11442 "widget": {
11443 "name": "sampling_mode.repetition_penalty"
11444 },
11445 "link": null
11446 },
11447 {
11448 "localized_name": "seed",
11449 "name": "sampling_mode.seed",
11450 "type": "INT",
11451 "widget": {
11452 "name": "sampling_mode.seed"
11453 },
11454 "link": null
11455 },
11456 {
11457 "localized_name": "presence_penalty",
11458 "name": "sampling_mode.presence_penalty",
11459 "shape": 7,
11460 "type": "FLOAT",
11461 "widget": {
11462 "name": "sampling_mode.presence_penalty"
11463 },
11464 "link": null
11465 },
11466 {
11467 "localized_name": "thinking",
11468 "name": "thinking",
11469 "shape": 7,
11470 "type": "BOOLEAN",
11471 "widget": {
11472 "name": "thinking"
11473 },
11474 "link": null
11475 },
11476 {
11477 "localized_name": "use_default_template",
11478 "name": "use_default_template",
11479 "shape": 7,
11480 "type": "BOOLEAN",
11481 "widget": {
11482 "name": "use_default_template"
11483 },
11484 "link": null
11485 },
11486 {
11487 "localized_name": "mtp",
11488 "name": "mtp",
11489 "shape": 7,
11490 "type": "COMBO",
11491 "widget": {
11492 "name": "mtp"
11493 },
11494 "link": null
11495 }
11496 ],
11497 "outputs": [
11498 {
11499 "localized_name": "generated_text",
11500 "name": "generated_text",
11501 "type": "STRING",
11502 "links": [
11503 43
11504 ]
11505 },
11506 {
11507 "localized_name": "thinking",
11508 "name": "thinking",
11509 "type": "STRING",
11510 "links": []
11511 }
11512 ],
11513 "properties": {
11514 "cnr_id": "comfy-core",
11515 "ver": "0.38.0",
11516 "Node name for S&R": "TextGenerate"
11517 },
11518 "widgets_values": [
11519 "Count the characters, and for each character create a retention analysis block. Do not describe the characters' appearance. \nThe first girl (Character 1) will be subject 2 using Picture 2.\n\nUse this format:\n<Subject X+1> is Character X (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture X+1> are preserved.\n\nExample output:\n\n<Subject 2> replaces Character 1 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 2> are preserved. The character's pose matches that of Character 1.\n\n<Subject 3> replaces Character 2 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 3> are preserved. The character's pose matches that of Character 2.\n\n",
11520 512,
11521 "on",
11522 0.7,
11523 64,
11524 0.95,
11525 0.05,
11526 1.05,
11527 0,
11528 0,
11529 true,
11530 true,
11531 "auto"
11532 ],
11533 "widgets_values_named": {
11534 "prompt": "Count the characters, and for each character create a retention analysis block. Do not describe the characters' appearance. \nThe first girl (Character 1) will be subject 2 using Picture 2.\n\nUse this format:\n<Subject X+1> is Character X (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture X+1> are preserved.\n\nExample output:\n\n<Subject 2> replaces Character 1 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 2> are preserved. The character's pose matches that of Character 1.\n\n<Subject 3> replaces Character 2 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 3> are preserved. The character's pose matches that of Character 2.\n\n",
11535 "max_length": 512,
11536 "sampling_mode": "on",
11537 "sampling_mode.temperature": 0.7,
11538 "sampling_mode.top_k": 64,
11539 "sampling_mode.top_p": 0.95,
11540 "sampling_mode.min_p": 0.05,
11541 "sampling_mode.repetition_penalty": 1.05,
11542 "sampling_mode.seed": 0,
11543 "sampling_mode.presence_penalty": 0,
11544 "thinking": true,
11545 "use_default_template": true,
11546 "mtp": "auto"
11547 },
11548 "color": "#222",
11549 "bgcolor": "#000"
11550 },
11551 {
11552 "id": 26,
11553 "type": "PrimitiveStringMultiline",
11554 "pos": [
11555 -10030,
11556 -3550
11557 ],
11558 "size": [
11559 410,
11560 530
11561 ],
11562 "flags": [],
11563 "order": 0,
11564 "mode": 0,
11565 "inputs": [
11566 {
11567 "localized_name": "value",
11568 "name": "value",
11569 "type": "STRING",
11570 "widget": {
11571 "name": "value"
11572 },
11573 "link": null
11574 }
11575 ],
11576 "outputs": [
11577 {
11578 "localized_name": "STRING",
11579 "name": "STRING",
11580 "type": "STRING",
11581 "links": [
11582 33
11583 ]
11584 }
11585 ],
11586 "title": "Create prompt",
11587 "properties": {
11588 "cnr_id": "comfy-core",
11589 "ver": "0.30.0",
11590 "Node name for S&R": "PrimitiveStringMultiline"
11591 },
11592 "widgets_values": [
11593 "subject_definitions:\n<Subject 1> is the environment in <Picture 1>: it serves as the background for the target image.\n\n__subjects__\n\nsummary:\n[reference generation] The girls are on the same location as <Subject 1>.\n\n__instructions__\n\nretention_analysis:\n<Subject 1> (appears in [Shot 1]): fully_preserved - the setting, framing, lighting, color palette and rendering style are retained.\n__retention__\n\ndetailed_description:\n[Shot 1]\nThe target image takes place in the same location as <Subject 1> but using completely different characters.\n__prompt__\n__chars__\nRelight the characters to match the environmental lighting and art style of the image.\n\noverall_soundscape: N/A\n\nnon_diegetic_music: N/A"
11594 ],
11595 "widgets_values_named": {
11596 "value": "subject_definitions:\n<Subject 1> is the environment in <Picture 1>: it serves as the background for the target image.\n\n__subjects__\n\nsummary:\n[reference generation] The girls are on the same location as <Subject 1>.\n\n__instructions__\n\nretention_analysis:\n<Subject 1> (appears in [Shot 1]): fully_preserved - the setting, framing, lighting, color palette and rendering style are retained.\n__retention__\n\ndetailed_description:\n[Shot 1]\nThe target image takes place in the same location as <Subject 1> but using completely different characters.\n__prompt__\n__chars__\nRelight the characters to match the environmental lighting and art style of the image.\n\noverall_soundscape: N/A\n\nnon_diegetic_music: N/A"
11597 },
11598 "color": "#222",
11599 "bgcolor": "#000"
11600 },
11601 {
11602 "id": 5,
11603 "type": "PrimitiveNode",
11604 "pos": [
11605 -11210,
11606 -4790
11607 ],
11608 "size": [
11609 400,
11610 280
11611 ],
11612 "flags": [],
11613 "order": 1,
11614 "mode": 0,
11615 "inputs": [],
11616 "outputs": [
11617 {
11618 "name": "STRING",
11619 "type": "STRING",
11620 "widget": {
11621 "name": "string_a"
11622 },
11623 "links": [
11624 511
11625 ]
11626 }
11627 ],
11628 "title": "prompt",
11629 "properties": {
11630 "Run widget replace on values": false
11631 },
11632 "widgets_values": [
11633 "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n"
11634 ],
11635 "widgets_values_named": {
11636 "value": "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n"
11637 },
11638 "color": "#222",
11639 "bgcolor": "#000"
11640 },
11641 {
11642 "id": 24,
11643 "type": "PrimitiveNode",
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11646 -4260
11647 ],
11648 "size": [
11649 400,
11650 280
11651 ],
11652 "flags": [],
11653 "order": 2,
11654 "mode": 0,
11655 "inputs": [],
11656 "outputs": [
11657 {
11658 "name": "STRING",
11659 "type": "STRING",
11660 "widget": {
11661 "name": "string_a"
11662 },
11663 "links": [
11664 518
11665 ]
11666 }
11667 ],
11668 "title": "prompt",
11669 "properties": {
11670 "Run widget replace on values": false
11671 },
11672 "widgets_values": [
11673 "Count the characters, and for each character create a subject definition block. Do not describe the characters' appearance. \nThe first character (character 1) will be subject 2 using Picture 2. If there is a single character only, then only make 1 character's block.\nInclude every characters. Don't include characters if you're unsure of them.\n\nUse this format:\n<Subject X+1> is Girl X, matching <Picture X+1>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\nExample output:\n\n<Subject 2> is Character 1, matching <Picture 2>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n<Subject 3> is Character 2, matching <Picture 3>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n"
11674 ],
11675 "widgets_values_named": {
11676 "value": "Count the characters, and for each character create a subject definition block. Do not describe the characters' appearance. \nThe first character (character 1) will be subject 2 using Picture 2. If there is a single character only, then only make 1 character's block.\nInclude every characters. Don't include characters if you're unsure of them.\n\nUse this format:\n<Subject X+1> is Girl X, matching <Picture X+1>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\nExample output:\n\n<Subject 2> is Character 1, matching <Picture 2>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n<Subject 3> is Character 2, matching <Picture 3>. Preserve her exact facial features, hairstyle, outfit, proportions, and visual character identity throughout the target video.\n\n"
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11678 "color": "#222",
11679 "bgcolor": "#000"
11680 },
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11683 "type": "PrimitiveNode",
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11687 ],
11688 "size": [
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11690 280
11691 ],
11692 "flags": [],
11693 "order": 3,
11694 "mode": 0,
11695 "inputs": [],
11696 "outputs": [
11697 {
11698 "name": "STRING",
11699 "type": "STRING",
11700 "widget": {
11701 "name": "string_a"
11702 },
11703 "links": [
11704 519
11705 ]
11706 }
11707 ],
11708 "title": "prompt",
11709 "properties": {
11710 "Run widget replace on values": false
11711 },
11712 "widgets_values": [
11713 "Count the characters, and for each character create a retention analysis block. Do not describe the characters' appearance. \nThe first girl (Character 1) will be subject 2 using Picture 2.\n\nUse this format:\n<Subject X+1> is Character X (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture X+1> are preserved.\n\nExample output:\n\n<Subject 2> replaces Character 1 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 2> are preserved. The character's pose matches that of Character 1.\n\n<Subject 3> replaces Character 2 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 3> are preserved. The character's pose matches that of Character 2.\n\n"
11714 ],
11715 "widgets_values_named": {
11716 "value": "Count the characters, and for each character create a retention analysis block. Do not describe the characters' appearance. \nThe first girl (Character 1) will be subject 2 using Picture 2.\n\nUse this format:\n<Subject X+1> is Character X (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture X+1> are preserved.\n\nExample output:\n\n<Subject 2> replaces Character 1 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 2> are preserved. The character's pose matches that of Character 1.\n\n<Subject 3> replaces Character 2 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 3> are preserved. The character's pose matches that of Character 2.\n\n"
11717 },
11718 "color": "#222",
11719 "bgcolor": "#000"
11720 },
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11722 "id": 235,
11723 "type": "StringConcatenate",
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11726 -4470
11727 ],
11728 "size": [
11729 400,
11730 170
11731 ],
11732 "flags": [],
11733 "order": 14,
11734 "mode": 0,
11735 "inputs": [
11736 {
11737 "localized_name": "string_a",
11738 "name": "string_a",
11739 "type": "STRING",
11740 "widget": {
11741 "name": "string_a"
11742 },
11743 "link": 511
11744 },
11745 {
11746 "localized_name": "string_b",
11747 "name": "string_b",
11748 "type": "STRING",
11749 "widget": {
11750 "name": "string_b"
11751 },
11752 "link": 512
11753 },
11754 {
11755 "localized_name": "delimiter",
11756 "name": "delimiter",
11757 "type": "STRING",
11758 "widget": {
11759 "name": "delimiter"
11760 },
11761 "link": null
11762 }
11763 ],
11764 "outputs": [
11765 {
11766 "localized_name": "STRING",
11767 "name": "STRING",
11768 "type": "STRING",
11769 "links": [
11770 513
11771 ]
11772 }
11773 ],
11774 "properties": {
11775 "cnr_id": "comfy-core",
11776 "ver": "0.43.0",
11777 "Node name for S&R": "StringConcatenate"
11778 },
11779 "widgets_values": [
11780 "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n",
11781 "",
11782 ""
11783 ],
11784 "widgets_values_named": {
11785 "string_a": "Briefly describe all the characters' poses and positions on the background. Do not describe the character's appearance.\nInclude every characters. If there is a single character only, then only make 1 character's block. Don't include characters if you're unsure of them.\n\nFor character placement, you can use descriptive things like \"close-up filling most of the screen\", \"occupying most of the left half\", \"seen further back in the top right corner\".\n\nAfter format this for a character swap. \n\nFormat template:\n[Character N] is the character [placement on screen] [pose] - completely remove Character N and replace with <Subject N+1> to match the identity established by <Picture N+1>.\n\nExample output:\n[Character 1] is the character [on the left of the screen] [pose] - completely remove Character 1 and replace with <Subject 2> to match the identity established by <Picture 2>.\n[Character 2] is the character [on the left of the screen] [pose] - completely remove Character 2 and replace with <Subject 3> to match the identity established by <Picture 3>.\n\n",
11786 "string_b": "",
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11788 },
11789 "color": "#222",
11790 "bgcolor": "#000"
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11794 "type": "StringConcatenate",
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11798 ],
11799 "size": [
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11801 170
11802 ],
11803 "flags": [],
11804 "order": 15,
11805 "mode": 0,
11806 "inputs": [
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11808 "localized_name": "string_a",
11809 "name": "string_a",
11810 "type": "STRING",
11811 "widget": {
11812 "name": "string_a"
11813 },
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11815 },
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11817 "localized_name": "string_b",
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11819 "type": "STRING",
11820 "widget": {
11821 "name": "string_b"
11822 },
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11824 },
11825 {
11826 "localized_name": "delimiter",
11827 "name": "delimiter",
11828 "type": "STRING",
11829 "widget": {
11830 "name": "delimiter"
11831 },
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11833 }
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11835 "outputs": [
11836 {
11837 "localized_name": "STRING",
11838 "name": "STRING",
11839 "type": "STRING",
11840 "links": [
11841 521
11842 ]
11843 }
11844 ],
11845 "properties": {
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11847 "ver": "0.43.0",
11848 "Node name for S&R": "StringConcatenate"
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11850 "widgets_values": [
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11852 "",
11853 ""
11854 ],
11855 "widgets_values_named": {
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11858 "delimiter": ""
11859 },
11860 "color": "#222",
11861 "bgcolor": "#000"
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11865 "type": "StringConcatenate",
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11872 170
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11875 "order": 16,
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11881 "type": "STRING",
11882 "widget": {
11883 "name": "string_a"
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11886 },
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11890 "type": "STRING",
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11895 },
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11899 "type": "STRING",
11900 "widget": {
11901 "name": "delimiter"
11902 },
11903 "link": null
11904 }
11905 ],
11906 "outputs": [
11907 {
11908 "localized_name": "STRING",
11909 "name": "STRING",
11910 "type": "STRING",
11911 "links": [
11912 520
11913 ]
11914 }
11915 ],
11916 "properties": {
11917 "cnr_id": "comfy-core",
11918 "ver": "0.43.0",
11919 "Node name for S&R": "StringConcatenate"
11920 },
11921 "widgets_values": [
11922 "Count the characters, and for each character create a retention analysis block. Do not describe the characters' appearance. \nThe first girl (Character 1) will be subject 2 using Picture 2.\n\nUse this format:\n<Subject X+1> is Character X (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture X+1> are preserved.\n\nExample output:\n\n<Subject 2> replaces Character 1 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 2> are preserved. The character's pose matches that of Character 1.\n\n<Subject 3> replaces Character 2 (appears in [Shot 1]): fully_preserved - the character's identity and established visual design matching <Picture 3> are preserved. The character's pose matches that of Character 2.\n\n",
11923 "",
11924 ""
11925 ],
11926 "widgets_values_named": {
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11928 "string_b": "",
11929 "delimiter": ""
11930 },
11931 "color": "#222",
11932 "bgcolor": "#000"
11933 },
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11940 ],
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11943 170
11944 ],
11945 "flags": [],
11946 "order": 12,
11947 "mode": 0,
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11952 "type": "INT",
11953 "widget": {
11954 "name": "width"
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11957 },
11958 {
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11961 "type": "INT",
11962 "widget": {
11963 "name": "height"
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11967 {
11968 "localized_name": "batch_size",
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11971 "widget": {
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11980 "name": "LATENT",
11981 "type": "LATENT",
11982 "links": [
11983 459
11984 ]
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11989 "ver": "10d5171f6e45b0757a03df977f53a660e060c33d",
11990 "Node name for S&R": "FizgigH3StillLatent",
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11992 "widget_ue_connectable": {
11993 "width": true,
11994 "height": true
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11996 "version": "7.8",
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12022 170
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12025 "order": 13,
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12028 {
12029 "localized_name": "image",
12030 "name": "image",
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12051 457
12052 ]
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12054 {
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12063 "ver": "0.43.0",
12064 "Node name for S&R": "GetImageSize"
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