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MOSS All in One Inpaint, Outpaint, & Rotate Workflow | 局部重绘 扩图
MOSS All in One Inpaint, Outpaint, & Rotate Workflow | 局部重绘 扩图
MOSS All in One Inpaint, Outpaint, & Rotate Workflow | 局部重绘 扩图
Part of the Lonecat's Drop In Modules Collection.Please use and share in your workflows. I designed these for the community 🙏Designed to plug into any workflow:Comfy Manager is SLOW to upload. sometimes a day or so. If y…
图像
46 个节点 6 次使用 lonecatone23 100 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。
MOSS AnyPaint Module (1).json
模型库暂未收录
节点构成
LCLabel
× 5
GetNode
× 4
SetNode
× 3
LCBooleanSwitch
× 3
LCNote
× 2
LCPositive
× 2
LCLight
× 2
SaveImage
× 2
LCOptimizer
× 1
LCSamplerConfigureSimple
× 1
LCPipeEdit
× 1
LCSeed
× 1
LoadImage
× 1
AspectRatioSimplifier
× 1
LCImageLabel
× 1
LCBatchImageComparer
× 1
官方标注的模型
MOSS_Image_Base_8_steps_dmd2_pinned.safetensorsflux2-vae_small.safetensorslora_dmd2.safetensorsmoss_anypaint_rank32.safetensorsmoss_image_sft_int8_convrot.safetensorsqwen3.5_9b_int8_convrot.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
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3 "revision": 0,
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5 "last_link_id": 109,
6 "nodes": [
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9 "type": "LCOptimizer",
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18 "flags": {
19 "pinned": true
20 },
21 "order": 0,
22 "mode": 0,
23 "inputs": [],
24 "outputs": [
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27 "type": "MODEL",
28 "links": [
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30 ]
31 },
32 {
33 "name": "clip",
34 "type": "CLIP",
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37 ]
38 },
39 {
40 "name": "vae",
41 "type": "VAE",
42 "links": [
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44 ]
45 },
46 {
47 "name": "summary",
48 "type": "STRING",
49 "links": null
50 }
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52 "properties": {
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54 "ver": "573d8e1f7a5a76fb7c93ad7a317b8ff42426c986",
55 "Node name for S&R": "LCOptimizer",
56 "ue_properties": {
57 "widget_ue_connectable": [],
58 "input_ue_unconnectable": [],
59 "version": "7.8"
60 }
61 },
62 "widgets_values": [
63 "MOSS Image (SFT)",
64 "Optimal",
65 "★ Recommended",
66 "★ Recommended",
67 "★ Recommended",
68 "Auto",
69 "auto",
70 "auto",
71 "auto",
72 "off",
73 "auto",
74 "auto",
75 "",
76 ""
77 ],
78 "widgets_values_named": {
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80 "goal": "Optimal",
81 "model_file": "★ Recommended",
82 "text_encoder": "★ Recommended",
83 "vae": "★ Recommended",
84 "speed_ups": "Auto",
85 "attention": "auto",
86 "fp16_accumulation": "auto",
87 "step_cache": "auto",
88 "torch_compile": "off",
89 "qwen21_cache": "auto",
90 "clip_type": "auto",
91 "spectrum": "",
92 "lc_optimizer_face": ""
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94 "color": "#2E4A3B",
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125 "links": null
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127 ],
128 "title": "Set_Pipe",
129 "properties": {
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131 "aux_id": "kijai/ComfyUI-KJNodes",
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213 "input_ue_unconnectable": [],
214 "version": "7.8"
215 },
216 "lc_w": 330,
217 "lc_h": 330
218 },
219 "widgets_values": [
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221 8,
222 1,
223 "",
224 1,
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226 "euler",
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229 "widgets_values_named": {
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231 "detailer_steps": 8,
232 "denoise": 1,
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234 "cfg": 1,
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236 "sampler_name": "euler",
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239 "color": "#707070",
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263 "type": "LC_PIPE",
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273 {
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277 "type": "CLIP",
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279 },
280 {
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286 },
287 {
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293 },
294 {
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296 "name": "clip_2",
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298 "type": "CLIP",
299 "link": null
300 },
301 {
302 "label": "VAE 2",
303 "name": "vae_2",
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305 "type": "VAE",
306 "link": null
307 },
308 {
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310 "name": "image",
311 "shape": 7,
312 "type": "IMAGE",
313 "link": null
314 },
315 {
316 "label": "Mask",
317 "name": "mask",
318 "shape": 7,
319 "type": "MASK",
320 "link": null
321 },
322 {
323 "label": "Width",
324 "name": "width",
325 "shape": 7,
326 "type": "INT",
327 "link": null
328 },
329 {
330 "label": "Height",
331 "name": "height",
332 "shape": 7,
333 "type": "INT",
334 "link": null
335 },
336 {
337 "label": "Latent",
338 "name": "latent",
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340 "type": "LATENT",
341 "link": null
342 },
343 {
344 "label": "Batch",
345 "name": "batch",
346 "shape": 7,
347 "type": "INT",
348 "link": null
349 },
350 {
351 "label": "Positive prompt",
352 "name": "positive_prompt",
353 "shape": 7,
354 "type": "STRING",
355 "link": 49
356 },
357 {
358 "label": "Positive conditioning",
359 "name": "positive",
360 "shape": 7,
361 "type": "CONDITIONING",
362 "link": null
363 },
364 {
365 "label": "Negative prompt",
366 "name": "negative_prompt",
367 "shape": 7,
368 "type": "STRING",
369 "link": null
370 },
371 {
372 "label": "Negative conditioning",
373 "name": "negative",
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375 "type": "CONDITIONING",
376 "link": null
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378 {
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380 "name": "seed",
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382 "type": "INT",
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385 {
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392 {
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399 {
400 "label": "denoise",
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403 "type": "FLOAT",
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405 },
406 {
407 "label": "step_swap",
408 "name": "step_swap",
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410 "type": "INT",
411 "link": null
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413 {
414 "label": "cfg_2",
415 "name": "cfg_2",
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420 {
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427 {
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434 {
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442 "outputs": [
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445 "type": "LC_PIPE",
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515 "",
516 "— last used seeds —"
517 ],
518 "widgets_values_named": {
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521 "🎲 New Fixed Random": "",
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568 "widgets_values": [
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572 "widgets_values_named": {
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677 "custom_height": 1024,
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681 "crop_location": "center",
682 "pad_color": "0, 0, 0",
683 "divisible_by": 8,
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685 },
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687 "bgcolor": "#324b4b"
688 },
689 {
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712 ],
713 "outputs": [
714 {
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716 "type": "IMAGE",
717 "links": null
718 }
719 ],
720 "title": "Set_Org Pic",
721 "properties": {
722 "Node name for S&R": "SetNode",
723 "aux_id": "kijai/ComfyUI-KJNodes",
724 "previousName": "Org Pic",
725 "ue_properties": {
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755 "mode": 0,
756 "inputs": [],
757 "outputs": [],
758 "properties": {
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760 "font": "Bebas Neue",
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762 "bold": true,
763 "italic": false,
764 "color": "#bbbbbb",
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767 "outlineColor": "#000000",
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770 "shadowBlur": 10,
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787 },
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791 {
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802 "flags": {
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806 "mode": 0,
807 "inputs": [],
808 "outputs": [],
809 "properties": {
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813 "size": 166,
814 "padding": 5,
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816 "borderColor": "#ffffff",
817 "borderRadius": 0,
818 "backgroundColor": "transparent",
819 "bgTransparent": true,
820 "syncImageRadius": true,
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838 "bgcolor": "#fff0"
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851 "flags": {
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854 "order": 6,
855 "mode": 0,
856 "inputs": [],
857 "outputs": [],
858 "properties": {
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861 "size": 65,
862 "bold": true,
863 "italic": false,
864 "color": "#ffe63c",
865 "align": "center",
866 "outline": false,
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871 "bg": false,
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876 "width": 0,
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1017 "text": "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*",
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1085 "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*"
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1089 "text": "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*"
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1442 "text": "- MOSS Image inpaint and outpaint with **yijunwang2's MOSS AnyPaint LoRA**, done the way it was trained.\n\n- **[MOSS AnyPaint LoRA](https://huggingface.co/yijunwang2/moss-anypaint)**\n\n---\n\n### ✋ How to use\n\n### 🎚️Choose inpaint or outpaint from the toggle.\n- ⚠️ both will populate, but only the one selected will work\n\n**Inpaint 🖌️**\n\n- Run once so the picture shows on **LC Create Mask**, then paint over what you want changed\n - set pencil or point mode.\n - block on empty mask prevents it from processing until a mask is drawn\n\n**Outpaint & Rotate**\n\n- Drag the edges out and rotate the image\n- Write the prompt for the **whole** wider picture, including what fills the new sides.\n\n**Prompting ✍🏼**\n- base vs anypaint prompt\n - if you are just outpainting, base prompt works okay\n - for inpainting, you must use the anypaint prompt\n- 💡instead of *\"show her legs\"* when extending the image downward, write **\"pink haired woman sitting on a couch wearing a pink sweater and white lace panties\"**\n\n\n---\n\n**Settings worth touching**\n- **boundary_px:** 32. Raise it if a seam ever shows.\n- **padding (inpaint):** more = the model sees more of the scene around the mask.\n- **lora_strength:** 1.0 is what it was trained for.",
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1459 "- MOSS Image inpaint and outpaint with **yijunwang2's MOSS AnyPaint LoRA**, done the way it was trained.\n\n- **[MOSS AnyPaint LoRA](https://huggingface.co/yijunwang2/moss-anypaint)**\n\n---\n\n### ✋ How to use\n\n### 🎚️Choose inpaint or outpaint from the toggle.\n- ⚠️ both will populate, but only the one selected will work\n\n**Inpaint 🖌️**\n\n- Run once so the picture shows on **LC Create Mask**, then paint over what you want changed\n - set pencil or point mode.\n - block on empty mask prevents it from processing until a mask is drawn\n\n**Outpaint & Rotate**\n\n- Drag the edges out and rotate the image\n- Write the prompt for the **whole** wider picture, including what fills the new sides.\n\n**Prompting ✍🏼**\n- base vs anypaint prompt\n - if you are just outpainting, base prompt works okay\n - for inpainting, you must use the anypaint prompt\n- 💡instead of *\"show her legs\"* when extending the image downward, write **\"pink haired woman sitting on a couch wearing a pink sweater and white lace panties\"**\n\n\n---\n\n**Settings worth touching**\n- **boundary_px:** 32. Raise it if a seam ever shows.\n- **padding (inpaint):** more = the model sees more of the scene around the mask.\n- **lora_strength:** 1.0 is what it was trained for."
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