工作流 /
图像 /
Qwen Image 2.1 Ultimate 12GB — Turbo 8-step 2K T2I + Edit 1-3 Images + Remove Background + Fun ControlNet Pose/Depth/Canny
Qwen Image 2.1 Ultimate 12GB — Turbo 8-step 2K T2I + Edit 1-3 Images + Remove Background + Fun ControlNet Pose/Depth/Canny
Qwen Image 2.1 Ultimate 12GB — Turbo 8-step 2K T2I + Edit 1-3 Images + Remove Background + Fun ControlNet Pose/Depth/Canny
☕ One coffee = one happy creator: https://buymeacoffee.com/the_frizzy1Every Qwen Image 2.1 mode in one workflow, picked from one dropdown. Text to image at native 2K, editing with one to three of your own images, remove …
图像
8 个节点 3 次使用 The_frizzy1 146 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。
The_frizzy1_qwen-image-2.1-ultimate-12gb_v2.1.0.json
模型库暂未收录
节点构成
LoadImage
× 4
MarkdownNote
× 2
SaveImage
× 1
39ddf1f0-9a7b-40ad-8a3f-5eb2c842122e
× 1
官方标注的模型
lotus-depth-d-v1-1.safetensorsqwen3vl_8b_int8_convrot.safetensorsqwen_image_2.1_fun_controlnet_union_int8_convrot.safetensorsqwen_image_2.1_int8_convrot.safetensorsqwen_image_2.1_turbo_int8_convrot.safetensorsqwen_image_2.1_vae_bf16.safetensorsrt_detr_v4-x-hgnet_fp16.safetensorssdpose_wholebody_fp16.safetensorsvae-ft-mse-840000-ema-pruned.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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293 "name": "images",
294 "type": "IMAGE",
295 "links": null
296 }
297 ],
298 "title": "Result",
299 "properties": [],
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301 "qwen/Qwen21_ultimate"
302 ],
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380 },
381 {
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476 "name": "IMAGE",
477 "type": "IMAGE",
478 "links": [
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480 ]
481 }
482 ],
483 "title": "Qwen Image 2.1 (Ultimate)",
484 "properties": {
485 "models": [
486 {
487 "name": "qwen_image_2.1_turbo_int8_convrot.safetensors",
488 "url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_turbo_int8_convrot.safetensors",
489 "directory": "diffusion_models"
490 },
491 {
492 "name": "qwen_image_2.1_int8_convrot.safetensors",
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494 "directory": "diffusion_models"
495 },
496 {
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499 "directory": "text_encoders"
500 }
501 ],
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503 {
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512 "A cinematic portrait of a photographer in his studio, soft window light.",
513 "1:1 (Square)",
514 4,
515 true,
516 40,
517 1,
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519 1024,
520 42,
521 "qwen_image_2.1_turbo_int8_convrot.safetensors",
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524 ],
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527 "prompt": "A cinematic portrait of a photographer in his studio, soft window light.",
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543 {
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559 "title": "How to use",
560 "properties": [],
561 "widgets_values": [
562 "## How to use - tested on RTX 3060 12 GB\n\n**The inputs start bypassed (purple), so Text to image runs right away.** Pick a **Mode**, un-bypass (select + Ctrl+B) only the inputs it uses and load your files. **Keep every input you are not using bypassed**: ComfyUI checks the file of every active loader before a run, also in modes that never read it.\n\n| Mode | Uses | Turbo, RTX 3060 |\n|---|---|---|\n| Text to image | prompt | 2K: 57 s |\n| Edit (your images) | Image 1 (+ 2, 3 optional; write <Picture 1> etc. in the prompt) | 1K: 22 s |\n| Edit: remove background (PNG) | Image 1 only | 1K: 29 s (base: 54 s) |\n| ControlNet: pose | Control image (a person; the pose is read from it) | 1 MP: 24 s |\n| ControlNet: depth | Control image (any scene) | 1 MP: 27 s |\n| ControlNet: edges (canny) | Control image (lines, text, products) | 1 MP: 23 s |\n\nIf the mode needs Image 1 or the Control image and it is still bypassed, the run stops at the \"Needs ...\" node instead of quietly making a text-to-image.\n\n**Remove background** = the official template's prompt (\"Remove the background, and output a PNG image\") on Image 1; your prompt is ignored in this mode and the PNG keeps the transparency. It worked on one clear subject (a portrait, a product shot); on my own wide room shot it came back almost fully transparent 3 out of 3 times (Turbo, base, another seed).\n\n**Turbo on** = the official Qwen Image 2.1 Turbo model, 8 steps. **Turbo off** = the base model at \"Steps without Turbo\" (40) with Comfy Kitchen attention: 2K takes 4:07.\n**Size**: megapixels + aspect ratio (4 MP = 2048x2048, Qwen 2.1's native 2K). Edit uses its own resolution budget (1024 = about 1 MP; 2048 took 11 min on the 3060 in my benchmark).\n**ControlNet strength**: 1.0 = follow the map closely, lower = looser. **ControlNet megapixels** (1): the ControlNet modes use your control image's own shape at this size. At 4 MP (2K) the Fun ControlNet broke in my runs: pose filled the background with scribbles and depth came back as a coloured depth map. At 1 MP both came out clean.\nOnly want Text to image? ComfyUI still checks every loader: point the red ControlNet / pose / depth loaders at any file you have. They never load unless you pick a ControlNet mode.\n\nDouble-click the node to see every step. **Colours inside the node:** 🟦 load models · 🟩 your input (pose, face, frames) · 🟪 prompt + conditioning · 🟧 sampling · 🟨 decode + video · ⬛ settings + switches · 🟦 cyan = extras (side by side)"
563 ],
564 "widgets_values_named": {
565 "text": "## How to use - tested on RTX 3060 12 GB\n\n**The inputs start bypassed (purple), so Text to image runs right away.** Pick a **Mode**, un-bypass (select + Ctrl+B) only the inputs it uses and load your files. **Keep every input you are not using bypassed**: ComfyUI checks the file of every active loader before a run, also in modes that never read it.\n\n| Mode | Uses | Turbo, RTX 3060 |\n|---|---|---|\n| Text to image | prompt | 2K: 57 s |\n| Edit (your images) | Image 1 (+ 2, 3 optional; write <Picture 1> etc. in the prompt) | 1K: 22 s |\n| Edit: remove background (PNG) | Image 1 only | 1K: 29 s (base: 54 s) |\n| ControlNet: pose | Control image (a person; the pose is read from it) | 1 MP: 24 s |\n| ControlNet: depth | Control image (any scene) | 1 MP: 27 s |\n| ControlNet: edges (canny) | Control image (lines, text, products) | 1 MP: 23 s |\n\nIf the mode needs Image 1 or the Control image and it is still bypassed, the run stops at the \"Needs ...\" node instead of quietly making a text-to-image.\n\n**Remove background** = the official template's prompt (\"Remove the background, and output a PNG image\") on Image 1; your prompt is ignored in this mode and the PNG keeps the transparency. It worked on one clear subject (a portrait, a product shot); on my own wide room shot it came back almost fully transparent 3 out of 3 times (Turbo, base, another seed).\n\n**Turbo on** = the official Qwen Image 2.1 Turbo model, 8 steps. **Turbo off** = the base model at \"Steps without Turbo\" (40) with Comfy Kitchen attention: 2K takes 4:07.\n**Size**: megapixels + aspect ratio (4 MP = 2048x2048, Qwen 2.1's native 2K). Edit uses its own resolution budget (1024 = about 1 MP; 2048 took 11 min on the 3060 in my benchmark).\n**ControlNet strength**: 1.0 = follow the map closely, lower = looser. **ControlNet megapixels** (1): the ControlNet modes use your control image's own shape at this size. At 4 MP (2K) the Fun ControlNet broke in my runs: pose filled the background with scribbles and depth came back as a coloured depth map. At 1 MP both came out clean.\nOnly want Text to image? ComfyUI still checks every loader: point the red ControlNet / pose / depth loaders at any file you have. They never load unless you pick a ControlNet mode.\n\nDouble-click the node to see every step. **Colours inside the node:** 🟦 load models · 🟩 your input (pose, face, frames) · 🟪 prompt + conditioning · 🟧 sampling · 🟨 decode + video · ⬛ settings + switches · 🟦 cyan = extras (side by side)"
566 },
567 "color": "#432",
568 "bgcolor": "#653"
569 },
570 {
571 "id": 78,
572 "type": "MarkdownNote",
573 "pos": [
574 -680,
575 523
576 ],
577 "size": [
578 620,
579 756
580 ],
581 "flags": [],
582 "order": 5,
583 "mode": 0,
584 "inputs": [],
585 "outputs": [],
586 "title": "Downloads",
587 "properties": [],
588 "widgets_values": [
589 "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`).\n\n**[Comfy-Org/Qwen-Image-2.1](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| Turbo on (8 steps) | `diffusion_models/` | [qwen_image_2.1_turbo_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_turbo_int8_convrot.safetensors) | 7.3 GB |\n| Turbo off (base) | `diffusion_models/` | [qwen_image_2.1_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors) | 7.3 GB |\n| all modes | `text_encoders/` | [qwen3vl_8b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors) | 9.4 GB |\n| all modes | `vae/` | [qwen_image_2.1_vae_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors) | 0.7 GB |\n| ControlNet modes | `model_patches/` | [qwen_image_2.1_fun_controlnet_union_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/model_patches/qwen_image_2.1_fun_controlnet_union_int8_convrot.safetensors) | 3.8 GB |\n\n**[Comfy-Org/SDPose](https://huggingface.co/Comfy-Org/SDPose)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: pose | `checkpoints/` | [sdpose_wholebody_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/checkpoints/sdpose_wholebody_fp16.safetensors) | 1.9 GB |\n| ControlNet: pose | `diffusion_models/` | [rt_detr_v4-x-hgnet_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/diffusion_models/rt_detr_v4-x-hgnet_fp16.safetensors) | 0.1 GB |\n\n**[Comfy-Org/lotus](https://huggingface.co/Comfy-Org/lotus)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: depth | `diffusion_models/` | [lotus-depth-d-v1-1.safetensors](https://huggingface.co/Comfy-Org/lotus/resolve/main/lotus-depth-d-v1-1.safetensors) | 1.7 GB |\n\n**[stabilityai/sd-vae-ft-mse-original](https://huggingface.co/stabilityai/sd-vae-ft-mse-original)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: depth | `vae/` | [vae-ft-mse-840000-ema-pruned.safetensors](https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors) | 0.3 GB |\n\n_Tested on: RTX 3060 12 GB · 32 GB RAM · ComfyUI 0.39.2._\n\nNo custom nodes: core ComfyUI **0.38 or newer** (Qwen Image 2.1 Fun ControlNet support). Qwen Image 2.1 + Turbo: Qwen Research License (non-commercial)."
590 ],
591 "widgets_values_named": {
592 "text": "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`).\n\n**[Comfy-Org/Qwen-Image-2.1](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| Turbo on (8 steps) | `diffusion_models/` | [qwen_image_2.1_turbo_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_turbo_int8_convrot.safetensors) | 7.3 GB |\n| Turbo off (base) | `diffusion_models/` | [qwen_image_2.1_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors) | 7.3 GB |\n| all modes | `text_encoders/` | [qwen3vl_8b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors) | 9.4 GB |\n| all modes | `vae/` | [qwen_image_2.1_vae_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors) | 0.7 GB |\n| ControlNet modes | `model_patches/` | [qwen_image_2.1_fun_controlnet_union_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/model_patches/qwen_image_2.1_fun_controlnet_union_int8_convrot.safetensors) | 3.8 GB |\n\n**[Comfy-Org/SDPose](https://huggingface.co/Comfy-Org/SDPose)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: pose | `checkpoints/` | [sdpose_wholebody_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/checkpoints/sdpose_wholebody_fp16.safetensors) | 1.9 GB |\n| ControlNet: pose | `diffusion_models/` | [rt_detr_v4-x-hgnet_fp16.safetensors](https://huggingface.co/Comfy-Org/SDPose/resolve/main/diffusion_models/rt_detr_v4-x-hgnet_fp16.safetensors) | 0.1 GB |\n\n**[Comfy-Org/lotus](https://huggingface.co/Comfy-Org/lotus)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: depth | `diffusion_models/` | [lotus-depth-d-v1-1.safetensors](https://huggingface.co/Comfy-Org/lotus/resolve/main/lotus-depth-d-v1-1.safetensors) | 1.7 GB |\n\n**[stabilityai/sd-vae-ft-mse-original](https://huggingface.co/stabilityai/sd-vae-ft-mse-original)**\n\n| For | Folder | File (click = download) | Size |\n|---|---|---|---|\n| ControlNet: depth | `vae/` | [vae-ft-mse-840000-ema-pruned.safetensors](https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors) | 0.3 GB |\n\n_Tested on: RTX 3060 12 GB · 32 GB RAM · ComfyUI 0.39.2._\n\nNo custom nodes: core ComfyUI **0.38 or newer** (Qwen Image 2.1 Fun ControlNet support). Qwen Image 2.1 + Turbo: Qwen Research License (non-commercial)."
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594 "color": "#432",
595 "bgcolor": "#653"
596 }
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