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Qwen Image 2.1 Turbo Generate + Edit | 8 Steps, Auto Prompt
Qwen Image 2.1 Turbo Generate + Edit | 8 Steps, Auto Prompt
Qwen Image 2.1 Turbo Generate + Edit | 8 Steps, Auto Prompt
Make a picture from a prompt, or change one you load, with the official Qwen Image 2.1 Turbo checkpoint. 8 steps, about 4 seconds for 2 megapixels on an RTX 5090. One switch writes the prompt for you, one upscales the re…
图像
26 个节点 3,887 次使用 AusBoss 143 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。
Qwen Image 2.1 Turbo (AusBoss).json
模型库暂未收录
节点构成
AUSBOSS_NODES_Callout
× 5
AUSBOSS_NODES_Compare
× 2
AUSBOSS_NODES_CalloutTile
× 2
AUSBOSS_NODES_WorkflowNote
× 1
AUSBOSS_NODES_WorkflowSwitches
× 1
AUSBOSS_NODES_Text
× 1
AUSBOSS_NODES_Seed
× 1
AUSBOSS_NODES_Resolution
× 1
AUSBOSS_NODES_ImageCropRotatePad
× 1
AUSBOSS_NODES_TiledUpscale
× 1
CLIPLoader
× 1
VAELoader
× 1
UNETLoader
× 1
AUSBOSS_NODES_LoraLoader
× 1
AUSBOSS_NODES_SaveImage
× 1
AUSBOSS_NODES_RunTimer
× 1
官方标注的模型
qwen-image-2.1-consistency.safetensorsqwen-image-2.1-restore.safetensorsqwen3vl_8b_int8_convrot.safetensorsqwen_image_2.1_turbo_int8_convrot.safetensorsqwen_image_2.1_vae_bf16.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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5131 "origin_id": 61,
5132 "origin_slot": 0,
5133 "target_id": 62,
5134 "target_slot": 4,
5135 "type": "SIGMAS"
5136 },
5137 {
5138 "id": 87,
5139 "origin_id": 36,
5140 "origin_slot": 0,
5141 "target_id": 62,
5142 "target_slot": 5,
5143 "type": "LATENT"
5144 },
5145 {
5146 "id": 88,
5147 "origin_id": 35,
5148 "origin_slot": 1,
5149 "target_id": 62,
5150 "target_slot": 7,
5151 "type": "INT"
5152 }
5153 ],
5154 "extra": []
5155 },
5156 {
5157 "id": "34d4dc14-00f5-59cf-b7da-d60b48dff2ab",
5158 "version": 1,
5159 "state": {
5160 "lastGroupId": 12,
5161 "lastNodeId": 220,
5162 "lastLinkId": 618,
5163 "lastRerouteId": 0
5164 },
5165 "revision": 0,
5166 "config": [],
5167 "name": "Write the prompt",
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5170 "bounding": [
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5172 120,
5173 150,
5174 240
5175 ]
5176 },
5177 "outputNode": {
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5179 "bounding": [
5180 2210,
5181 120,
5182 150,
5183 160
5184 ]
5185 },
5186 "inputs": [
5187 {
5188 "id": "a5bae37f-5162-5260-9096-29247725d713",
5189 "name": "your prompt",
5190 "type": "*",
5191 "linkIds": [
5192 1
5193 ],
5194 "pos": [
5195 -130,
5196 140
5197 ],
5198 "localized_name": "your prompt"
5199 },
5200 {
5201 "id": "dcb5ddb8-dd53-5f5b-9f84-b817d7f7b389",
5202 "name": "picture 2",
5203 "type": "IMAGE",
5204 "linkIds": [
5205 601
5206 ],
5207 "localized_name": "picture 2",
5208 "shape": 7,
5209 "pos": [
5210 -130,
5211 160
5212 ]
5213 },
5214 {
5215 "id": "efc92f78-97fc-51a3-b6ca-03de60279320",
5216 "name": "picture 3",
5217 "type": "IMAGE",
5218 "linkIds": [
5219 603
5220 ],
5221 "localized_name": "picture 3",
5222 "shape": 7,
5223 "pos": [
5224 -130,
5225 180
5226 ]
5227 },
5228 {
5229 "id": "f82241e4-7cbe-5ed0-9853-274b3e92288f",
5230 "name": "picture 4",
5231 "type": "IMAGE",
5232 "linkIds": [
5233 605
5234 ],
5235 "localized_name": "picture 4",
5236 "shape": 7,
5237 "pos": [
5238 -130,
5239 200
5240 ]
5241 },
5242 {
5243 "id": "bf2a9424-9650-53ec-9bce-affa8e4f66be",
5244 "name": "picture 5",
5245 "type": "IMAGE",
5246 "linkIds": [
5247 607
5248 ],
5249 "localized_name": "picture 5",
5250 "shape": 7,
5251 "pos": [
5252 -130,
5253 220
5254 ]
5255 },
5256 {
5257 "id": "97927749-d9f0-507b-9cea-b26dd38546d6",
5258 "name": "picture 6",
5259 "type": "IMAGE",
5260 "linkIds": [
5261 609
5262 ],
5263 "localized_name": "picture 6",
5264 "shape": 7,
5265 "pos": [
5266 -130,
5267 240
5268 ]
5269 },
5270 {
5271 "id": "47d388a4-b285-5c1d-b949-5df26e8c2984",
5272 "name": "your picture",
5273 "type": "IMAGE",
5274 "linkIds": [
5275 10
5276 ],
5277 "localized_name": "your picture",
5278 "shape": 7,
5279 "pos": [
5280 -130,
5281 260
5282 ]
5283 },
5284 {
5285 "id": "45d91b4f-f059-5138-bebd-15cc78ed8a29",
5286 "name": "text encoder",
5287 "type": "CLIP",
5288 "linkIds": [
5289 9
5290 ],
5291 "localized_name": "text encoder",
5292 "pos": [
5293 -130,
5294 280
5295 ]
5296 },
5297 {
5298 "id": "4a121542-a815-5fe0-9e26-159289f7df38",
5299 "name": "write an edit",
5300 "type": "BOOLEAN",
5301 "linkIds": [
5302 72
5303 ],
5304 "pos": [
5305 -130,
5306 300
5307 ],
5308 "localized_name": "write an edit"
5309 },
5310 {
5311 "id": "669f70c6-7137-5145-80b9-f4fb35c6b36f",
5312 "name": "auto prompt",
5313 "type": "BOOLEAN",
5314 "linkIds": [
5315 618
5316 ],
5317 "localized_name": "auto prompt",
5318 "pos": [
5319 -130,
5320 320
5321 ]
5322 }
5323 ],
5324 "outputs": [
5325 {
5326 "id": "5ca51fe8-a5fe-5d91-a4c3-c25a6cd0bee4",
5327 "name": "prompt",
5328 "type": "STRING",
5329 "linkIds": [
5330 11
5331 ],
5332 "localized_name": "prompt",
5333 "pos": [
5334 24,
5335 24
5336 ]
5337 },
5338 {
5339 "id": "3a794e70-e0a8-5a99-b9f1-0fb327693dcf",
5340 "name": "picture 2",
5341 "type": "IMAGE",
5342 "linkIds": [
5343 602
5344 ],
5345 "localized_name": "picture 2"
5346 },
5347 {
5348 "id": "2678c5f3-c1de-5f0e-b802-678c32aba171",
5349 "name": "picture 3",
5350 "type": "IMAGE",
5351 "linkIds": [
5352 604
5353 ],
5354 "localized_name": "picture 3"
5355 },
5356 {
5357 "id": "901a5589-3635-55d4-9f33-14f7d9f51067",
5358 "name": "picture 4",
5359 "type": "IMAGE",
5360 "linkIds": [
5361 606
5362 ],
5363 "localized_name": "picture 4"
5364 },
5365 {
5366 "id": "f50a1722-2e93-5ee3-8875-d90f7f2e96a1",
5367 "name": "picture 5",
5368 "type": "IMAGE",
5369 "linkIds": [
5370 608
5371 ],
5372 "localized_name": "picture 5"
5373 },
5374 {
5375 "id": "b6010354-3a74-5df9-9aa2-8713b2f82e49",
5376 "name": "picture 6",
5377 "type": "IMAGE",
5378 "linkIds": [
5379 610
5380 ],
5381 "localized_name": "picture 6"
5382 }
5383 ],
5384 "widgets": [],
5385 "nodes": [
5386 {
5387 "id": 16,
5388 "type": "Reroute",
5389 "pos": [
5390 20,
5391 272
5392 ],
5393 "size": [
5394 75,
5395 26
5396 ],
5397 "flags": [],
5398 "order": 2,
5399 "mode": 0,
5400 "inputs": [
5401 {
5402 "name": "",
5403 "type": "*",
5404 "link": 1
5405 }
5406 ],
5407 "outputs": [
5408 {
5409 "name": "",
5410 "type": "STRING",
5411 "links": [
5412 3,
5413 5,
5414 616
5415 ]
5416 }
5417 ],
5418 "properties": {
5419 "showOutputText": false,
5420 "horizontal": false
5421 }
5422 },
5423 {
5424 "id": 17,
5425 "type": "AUSBOSS_NODES_Text",
5426 "pos": [
5427 20,
5428 358
5429 ],
5430 "size": [
5431 460,
5432 640
5433 ],
5434 "flags": [],
5435 "order": 0,
5436 "mode": 0,
5437 "inputs": [
5438 {
5439 "localized_name": "text",
5440 "name": "text",
5441 "type": "STRING",
5442 "widget": {
5443 "name": "text"
5444 },
5445 "link": null
5446 }
5447 ],
5448 "outputs": [
5449 {
5450 "localized_name": "text",
5451 "name": "text",
5452 "type": "STRING",
5453 "links": [
5454 2
5455 ]
5456 }
5457 ],
5458 "title": "Text - How a new picture's prompt is written",
5459 "properties": {
5460 "Node name for S&R": "AUSBOSS_NODES_Text",
5461 "cnr_id": "ausboss-nodes",
5462 "ver": "2.10.0"
5463 },
5464 "widgets_values": [
5465 "You are a prompt writer for an image model.\n\nYou receive a short idea from the user. It may name images as image 1, image 2 and so on. You cannot see those; the image model can.\n\nRewrite it as one full text-to-image prompt of four to six sentences.\n- Begin with the medium and style in a few words, such as \"35mm film photograph\", \"Smartphone photo\", \"Anime illustration\", \"Oil painting\" or \"3D render\". Use the one the user names. If they name none, make it a photograph and pick the kind that suits the idea.\n- Then describe the subject, what they are doing and wearing, the setting and the background, with materials, colors, lighting, camera angle and framing.\n- Give the time of day in plain words, such as dusk or late at night. Leave out clock times, dates, and any name or number the user did not give.\n- For a painting or drawing, name the marks of the medium: brushstrokes, how the paint sits, the paper or canvas.\n- When the idea names an image, keep its name exactly, such as \"the woman from image 1\". Do not guess what it looks like.\n- Keep everything the user said. Add what makes the picture specific, stay with the user's one subject and idea, and bring in people only when the idea has them.\n- Only when the user asks for readable words in the picture, such as a sign, a label or a title: put exactly those words in straight double quotes, spelled as the user wrote them, and say where they are. Use quotation marks for nothing else.\n- Every sentence says what is in the picture. Leave out anything that is absent: never write \"no\", \"not\" or \"without\" about the scene.\n- Write full sentences in plain factual language and the present tense. End each one with a period. Never use a semicolon or a label such as \"Lighting:\".\n\nOutput only the prompt: one paragraph, four to six sentences, 80 to 140 words."
5466 ],
5467 "widgets_values_named": {
5468 "text": "You are a prompt writer for an image model.\n\nYou receive a short idea from the user. It may name images as image 1, image 2 and so on. You cannot see those; the image model can.\n\nRewrite it as one full text-to-image prompt of four to six sentences.\n- Begin with the medium and style in a few words, such as \"35mm film photograph\", \"Smartphone photo\", \"Anime illustration\", \"Oil painting\" or \"3D render\". Use the one the user names. If they name none, make it a photograph and pick the kind that suits the idea.\n- Then describe the subject, what they are doing and wearing, the setting and the background, with materials, colors, lighting, camera angle and framing.\n- Give the time of day in plain words, such as dusk or late at night. Leave out clock times, dates, and any name or number the user did not give.\n- For a painting or drawing, name the marks of the medium: brushstrokes, how the paint sits, the paper or canvas.\n- When the idea names an image, keep its name exactly, such as \"the woman from image 1\". Do not guess what it looks like.\n- Keep everything the user said. Add what makes the picture specific, stay with the user's one subject and idea, and bring in people only when the idea has them.\n- Only when the user asks for readable words in the picture, such as a sign, a label or a title: put exactly those words in straight double quotes, spelled as the user wrote them, and say where they are. Use quotation marks for nothing else.\n- Every sentence says what is in the picture. Leave out anything that is absent: never write \"no\", \"not\" or \"without\" about the scene.\n- Write full sentences in plain factual language and the present tense. End each one with a period. Never use a semicolon or a label such as \"Lighting:\".\n\nOutput only the prompt: one paragraph, four to six sentences, 80 to 140 words."
5469 },
5470 "color": "#14424d",
5471 "bgcolor": "#161f21"
5472 },
5473 {
5474 "id": 18,
5475 "type": "StringFormat",
5476 "pos": [
5477 20,
5478 1068
5479 ],
5480 "size": [
5481 460,
5482 148
5483 ],
5484 "flags": [],
5485 "order": 3,
5486 "mode": 0,
5487 "inputs": [
5488 {
5489 "localized_name": "a",
5490 "name": "values.a",
5491 "shape": 7,
5492 "type": "*",
5493 "link": 2
5494 },
5495 {
5496 "localized_name": "f_string",
5497 "name": "f_string",
5498 "type": "STRING",
5499 "widget": {
5500 "name": "f_string"
5501 },
5502 "link": null
5503 },
5504 {
5505 "localized_name": "b",
5506 "name": "values.b",
5507 "shape": 7,
5508 "type": "*",
5509 "link": 3
5510 },
5511 {
5512 "localized_name": "c",
5513 "name": "values.c",
5514 "shape": 7,
5515 "type": "*",
5516 "link": null
5517 }
5518 ],
5519 "outputs": [
5520 {
5521 "localized_name": "STRING",
5522 "name": "STRING",
5523 "type": "STRING",
5524 "links": [
5525 6
5526 ]
5527 }
5528 ],
5529 "title": "Format Text - Instructions plus your idea",
5530 "properties": {
5531 "Node name for S&R": "StringFormat",
5532 "cnr_id": "comfy-core",
5533 "ver": "0.38.0"
5534 },
5535 "widgets_values": [
5536 "{a}\n\nIdea: {b}"
5537 ],
5538 "widgets_values_named": {
5539 "f_string": "{a}\n\nIdea: {b}"
5540 },
5541 "color": "#14424d",
5542 "bgcolor": "#161f21"
5543 },
5544 {
5545 "id": 19,
5546 "type": "AUSBOSS_NODES_Text",
5547 "pos": [
5548 560,
5549 292
5550 ],
5551 "size": [
5552 460,
5553 620
5554 ],
5555 "flags": [],
5556 "order": 1,
5557 "mode": 0,
5558 "inputs": [
5559 {
5560 "localized_name": "text",
5561 "name": "text",
5562 "type": "STRING",
5563 "widget": {
5564 "name": "text"
5565 },
5566 "link": null
5567 }
5568 ],
5569 "outputs": [
5570 {
5571 "localized_name": "text",
5572 "name": "text",
5573 "type": "STRING",
5574 "links": [
5575 4
5576 ]
5577 }
5578 ],
5579 "title": "Text - How an edit is written",
5580 "properties": {
5581 "Node name for S&R": "AUSBOSS_NODES_Text",
5582 "cnr_id": "ausboss-nodes",
5583 "ver": "2.10.0"
5584 },
5585 "widgets_values": [
5586 "You are an image-edit prompt writer.\n\nYou receive:\n1. An input image, the one to edit.\n2. A short, informal edit request from the user. It may name other images as image 2, image 3 and so on. You cannot see those; the image model can.\n\nRewrite the request as one clear instruction for an image editing model.\n- Start with the change as a direct instruction. Name what it points at the way it appears in the image: its color, material and where it is.\n- Then say what the result looks like where the change happens, in things that can be seen. When something is removed, remove only that and say what shows in its place.\n- Make the change plain to see. Use strong, exact words for how much there is and where it lies, and leave out soft ones such as gently, subtle, slightly or a hint of.\n- A change to the weather, the season, the time of day or the light reaches the whole scene. Carry it through the air, the sky, the ground, the surfaces and what people wear, and say what each looks like afterwards: for snow, large flakes fill the air and a layer of fresh snow covers the ground.\n- For a style change, apply it to the whole image and name three or more marks of the style: for a painting, its brushstrokes, how the paint sits and pools, and the paper or canvas.\n- When the request names another image, keep its name exactly, such as \"the jacket from image 2\". Do not guess what it looks like.\n- Add only what the user asked for: bring in new lighting, colors or weather only when the request names them.\n- End with one short sentence that names the one or two things that must stay, such as the person's face and pose, the framing, or that a night picture stays as dark. Leave the rest unsaid.\n- Write full sentences that end with a period. Never use a semicolon.\n\nOutput only the instruction, as one paragraph of 40 to 90 words."
5587 ],
5588 "widgets_values_named": {
5589 "text": "You are an image-edit prompt writer.\n\nYou receive:\n1. An input image, the one to edit.\n2. A short, informal edit request from the user. It may name other images as image 2, image 3 and so on. You cannot see those; the image model can.\n\nRewrite the request as one clear instruction for an image editing model.\n- Start with the change as a direct instruction. Name what it points at the way it appears in the image: its color, material and where it is.\n- Then say what the result looks like where the change happens, in things that can be seen. When something is removed, remove only that and say what shows in its place.\n- Make the change plain to see. Use strong, exact words for how much there is and where it lies, and leave out soft ones such as gently, subtle, slightly or a hint of.\n- A change to the weather, the season, the time of day or the light reaches the whole scene. Carry it through the air, the sky, the ground, the surfaces and what people wear, and say what each looks like afterwards: for snow, large flakes fill the air and a layer of fresh snow covers the ground.\n- For a style change, apply it to the whole image and name three or more marks of the style: for a painting, its brushstrokes, how the paint sits and pools, and the paper or canvas.\n- When the request names another image, keep its name exactly, such as \"the jacket from image 2\". Do not guess what it looks like.\n- Add only what the user asked for: bring in new lighting, colors or weather only when the request names them.\n- End with one short sentence that names the one or two things that must stay, such as the person's face and pose, the framing, or that a night picture stays as dark. Leave the rest unsaid.\n- Write full sentences that end with a period. Never use a semicolon.\n\nOutput only the instruction, as one paragraph of 40 to 90 words."
5590 },
5591 "color": "#14424d",
5592 "bgcolor": "#161f21"
5593 },
5594 {
5595 "id": 20,
5596 "type": "StringFormat",
5597 "pos": [
5598 560,
5599 982
5600 ],
5601 "size": [
5602 460,
5603 148
5604 ],
5605 "flags": [],
5606 "order": 4,
5607 "mode": 0,
5608 "inputs": [
5609 {
5610 "localized_name": "a",
5611 "name": "values.a",
5612 "shape": 7,
5613 "type": "*",
5614 "link": 4
5615 },
5616 {
5617 "localized_name": "f_string",
5618 "name": "f_string",
5619 "type": "STRING",
5620 "widget": {
5621 "name": "f_string"
5622 },
5623 "link": null
5624 },
5625 {
5626 "localized_name": "b",
5627 "name": "values.b",
5628 "shape": 7,
5629 "type": "*",
5630 "link": 5
5631 },
5632 {
5633 "localized_name": "c",
5634 "name": "values.c",
5635 "shape": 7,
5636 "type": "*",
5637 "link": null
5638 }
5639 ],
5640 "outputs": [
5641 {
5642 "localized_name": "STRING",
5643 "name": "STRING",
5644 "type": "STRING",
5645 "links": [
5646 7
5647 ]
5648 }
5649 ],
5650 "title": "Format Text - Instructions plus your edit",
5651 "properties": {
5652 "Node name for S&R": "StringFormat",
5653 "cnr_id": "comfy-core",
5654 "ver": "0.38.0"
5655 },
5656 "widgets_values": [
5657 "{a}\n\nEdit request: {b}"
5658 ],
5659 "widgets_values_named": {
5660 "f_string": "{a}\n\nEdit request: {b}"
5661 },
5662 "color": "#14424d",
5663 "bgcolor": "#161f21"
5664 },
5665 {
5666 "id": 21,
5667 "type": "ComfySwitchNode",
5668 "pos": [
5669 1100,
5670 292
5671 ],
5672 "size": [
5673 460,
5674 78
5675 ],
5676 "flags": [],
5677 "order": 5,
5678 "mode": 0,
5679 "inputs": [
5680 {
5681 "localized_name": "on_false",
5682 "name": "on_false",
5683 "shape": 7,
5684 "type": "STRING",
5685 "link": 6
5686 },
5687 {
5688 "localized_name": "on_true",
5689 "name": "on_true",
5690 "shape": 7,
5691 "type": "STRING",
5692 "link": 7
5693 },
5694 {
5695 "localized_name": "switch",
5696 "name": "switch",
5697 "type": "BOOLEAN",
5698 "widget": {
5699 "name": "switch"
5700 },
5701 "link": 72
5702 }
5703 ],
5704 "outputs": [
5705 {
5706 "localized_name": "output",
5707 "name": "output",
5708 "type": "STRING",
5709 "links": [
5710 8
5711 ]
5712 }
5713 ],
5714 "title": "If/Else Switch - New picture or edit",
5715 "properties": {
5716 "Node name for S&R": "ComfySwitchNode",
5717 "cnr_id": "comfy-core",
5718 "ver": "0.38.0"
5719 },
5720 "widgets_values": [
5721 false
5722 ],
5723 "widgets_values_named": {
5724 "switch": false
5725 },
5726 "color": "#14424d",
5727 "bgcolor": "#161f21"
5728 },
5729 {
5730 "id": 22,
5731 "type": "TextGenerate",
5732 "pos": [
5733 1100,
5734 440
5735 ],
5736 "size": [
5737 460,
5738 456
5739 ],
5740 "flags": [],
5741 "order": 6,
5742 "mode": 0,
5743 "inputs": [
5744 {
5745 "localized_name": "clip",
5746 "name": "clip",
5747 "type": "CLIP",
5748 "link": 9
5749 },
5750 {
5751 "localized_name": "image",
5752 "name": "image",
5753 "shape": 7,
5754 "type": "IMAGE",
5755 "link": 10
5756 },
5757 {
5758 "localized_name": "video",
5759 "name": "video",
5760 "shape": 7,
5761 "type": "IMAGE",
5762 "link": null
5763 },
5764 {
5765 "localized_name": "audio",
5766 "name": "audio",
5767 "shape": 7,
5768 "type": "AUDIO",
5769 "link": null
5770 },
5771 {
5772 "localized_name": "system_prompt",
5773 "name": "system_prompt",
5774 "shape": 7,
5775 "type": "STRING",
5776 "link": null
5777 },
5778 {
5779 "localized_name": "prompt",
5780 "name": "prompt",
5781 "type": "STRING",
5782 "widget": {
5783 "name": "prompt"
5784 },
5785 "link": 8
5786 },
5787 {
5788 "localized_name": "max_length",
5789 "name": "max_length",
5790 "type": "INT",
5791 "widget": {
5792 "name": "max_length"
5793 },
5794 "link": null
5795 },
5796 {
5797 "localized_name": "Sampling Mode",
5798 "name": "sampling_mode",
5799 "type": "COMFY_DYNAMICCOMBO_V3",
5800 "widget": {
5801 "name": "sampling_mode"
5802 },
5803 "link": null
5804 },
5805 {
5806 "localized_name": "temperature",
5807 "name": "sampling_mode.temperature",
5808 "type": "FLOAT",
5809 "widget": {
5810 "name": "sampling_mode.temperature"
5811 },
5812 "link": null
5813 },
5814 {
5815 "localized_name": "top_k",
5816 "name": "sampling_mode.top_k",
5817 "type": "INT",
5818 "widget": {
5819 "name": "sampling_mode.top_k"
5820 },
5821 "link": null
5822 },
5823 {
5824 "localized_name": "top_p",
5825 "name": "sampling_mode.top_p",
5826 "type": "FLOAT",
5827 "widget": {
5828 "name": "sampling_mode.top_p"
5829 },
5830 "link": null
5831 },
5832 {
5833 "localized_name": "min_p",
5834 "name": "sampling_mode.min_p",
5835 "type": "FLOAT",
5836 "widget": {
5837 "name": "sampling_mode.min_p"
5838 },
5839 "link": null
5840 },
5841 {
5842 "localized_name": "repetition_penalty",
5843 "name": "sampling_mode.repetition_penalty",
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