{ "id": "00000000-0000-0000-0000-000000000000", "revision": 0, "last_node_id": 78, "last_link_id": 256, "nodes": [ { "id": 16, "type": "LoadImage", "pos": [ 0, 0 ], "size": [ 282.798828125, 102 ], "flags": {}, "order": 0, "mode": 4, "inputs": [ { "localized_name": "image", "name": "image", "type": "COMBO", "widget": { "name": "image" }, "link": null }, { "localized_name": "choose file to upload", "name": "upload", "type": "IMAGEUPLOAD", "widget": { "name": "upload" }, "link": null } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 240 ] }, { "localized_name": "MASK", "name": "MASK", "type": "MASK", "links": null } ], "title": "Image 1 ()", "properties": { "Node name for S&R": "LoadImage" }, "widgets_values": [ "qwen_edit_image_1.png", "image" ], "widgets_values_named": { "image": "qwen_edit_image_1.png", "upload": "image" } }, { "id": 17, "type": "LoadImage", "pos": [ 0, 162 ], "size": [ 282.798828125, 102 ], "flags": {}, "order": 1, "mode": 4, 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"upload" }, "link": null } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 242 ] }, { "localized_name": "MASK", "name": "MASK", "type": "MASK", "links": null } ], "title": "Image 3 ()", "properties": { "Node name for S&R": "LoadImage" }, "widgets_values": [ "qwen_edit_image_3.png", "image" ], "widgets_values_named": { "image": "qwen_edit_image_3.png", "upload": "image" } }, { "id": 19, "type": "LoadImage", "pos": [ 0, 486 ], "size": [ 282.798828125, 102 ], "flags": {}, "order": 3, "mode": 4, "inputs": [ { "localized_name": "image", "name": "image", "type": "COMBO", "widget": { "name": "image" }, "link": null }, { "localized_name": "choose file to upload", "name": "upload", "type": "IMAGEUPLOAD", "widget": { "name": "upload" }, "link": null } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 239 ] }, { "localized_name": "MASK", "name": "MASK", "type": "MASK", "links": null } ], "title": "Control image (ControlNet)", "properties": { "Node name for S&R": "LoadImage" }, "widgets_values": [ "qwen_control_image.png", "image" ], "widgets_values_named": { "image": "qwen_control_image.png", "upload": "image" } }, { "id": 69, "type": "SaveImage", "pos": [ 982.798828125, 0 ], "size": [ 270, 58 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "link": 243 }, { "localized_name": "filename_prefix", "name": "filename_prefix", "type": "STRING", "widget": { "name": "filename_prefix" }, "link": null } ], "outputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "links": null } ], "title": "Result", "properties": {}, "widgets_values": [ "qwen/Qwen21_ultimate" ], "widgets_values_named": { "filename_prefix": "qwen/Qwen21_ultimate" } }, { "id": 76, "type": "39ddf1f0-9a7b-40ad-8a3f-5eb2c842122e", "pos": [ 382.798828125, 0 ], "size": [ 520, 432 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "label": "Control image (ControlNet)", "localized_name": "on_true", "name": "on_true", "shape": 7, "type": "*", "link": 239 }, { "label": "Image 1 ()", "localized_name": "on_true_1", "name": "on_true_1", "shape": 7, "type": "*", "link": 240 }, { "label": "Image 2 ()", "localized_name": "on_true_1_1", "name": "on_true_1_1", "shape": 7, "type": "*", "link": 241 }, { "label": "Image 3 ()", "localized_name": "on_true_2", "name": "on_true_2", "shape": 7, "type": "*", "link": 242 }, { "label": "Mode", "name": "mode", "type": "COMBO", "widget": { "name": "mode" }, "link": null }, { "label": "Prompt", "name": "prompt", "type": "STRING", "widget": { "name": "prompt" }, "link": null }, { "label": "Aspect ratio", "name": "aspect", "type": "COMBO", "widget": { "name": "aspect" }, "link": null }, { "label": "Megapixels (4 = 2048x2048)", "name": "megapixels", "type": "FLOAT", "widget": { "name": "megapixels" }, "link": null }, { "label": "Turbo (8 steps)", "name": "turbo", "type": "BOOLEAN", "widget": { "name": "turbo" }, "link": null }, { "label": "Steps without Turbo", "name": "steps", "type": "INT", "widget": { "name": "steps" }, "link": null }, { "label": "ControlNet strength", "name": "cn_strength", "type": "FLOAT", "widget": { "name": "cn_strength" }, "link": null }, { "label": "ControlNet megapixels (1 = clean)", "name": "cn_mp", "type": "FLOAT", "widget": { "name": "cn_mp" }, "link": null }, { "label": "Edit resolution", "name": "edit_res", "type": "INT", "widget": { "name": "edit_res" }, "link": null }, { "label": "Seed", "name": "seed", "type": "INT", "widget": { "name": "seed" }, "link": null }, { "label": "Turbo model", "name": "turbo_file", "type": "COMBO", "widget": { "name": "turbo_file" }, "link": null }, { "label": "Base model", "name": "base_file", "type": "COMBO", "widget": { "name": "base_file" }, "link": null }, { "label": "Text encoder", "name": "text_encoder", "type": "COMBO", "widget": { "name": "text_encoder" }, "link": null } ], "outputs": [ { "label": "Result", "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 243 ] } ], "title": "Qwen Image 2.1 (Ultimate)", "properties": { "models": [ { "name": "qwen_image_2.1_turbo_int8_convrot.safetensors", "url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_turbo_int8_convrot.safetensors", "directory": "diffusion_models" }, { "name": "qwen_image_2.1_int8_convrot.safetensors", "url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors", "directory": "diffusion_models" }, { "name": "qwen3vl_8b_int8_convrot.safetensors", "url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors", "directory": "text_encoders" } ], "previewExposures": [ { "name": "$$canvas-image-preview", "sourceNodeId": "67", "sourcePreviewName": "$$canvas-image-preview" } ] }, "widgets_values": [ "Text to image", "A cinematic portrait of a photographer in his studio, soft window light.", "1:1 (Square)", 4, true, 40, 1, 1, 1024, 42, "qwen_image_2.1_turbo_int8_convrot.safetensors", "qwen_image_2.1_int8_convrot.safetensors", "qwen3vl_8b_int8_convrot.safetensors" ], "widgets_values_named": { "mode": "Text to image", "prompt": "A cinematic portrait of a photographer in his studio, soft window light.", "aspect": "1:1 (Square)", "megapixels": 4, "turbo": true, "steps": 40, "cn_strength": 1, "cn_mp": 1, "edit_res": 1024, "seed": 42, "turbo_file": "qwen_image_2.1_turbo_int8_convrot.safetensors", "base_file": "qwen_image_2.1_int8_convrot.safetensors", "text_encoder": "qwen3vl_8b_int8_convrot.safetensors" }, "color": "#223", "bgcolor": "#335" }, { "id": 77, "type": "MarkdownNote", "pos": [ -680, 0 ], "size": [ 620, 483 ], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [], "title": "How to use", "properties": {}, "widgets_values": [ "## 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 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)" ], "widgets_values_named": { "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 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)" }, "color": "#432", "bgcolor": "#653" }, { "id": 78, "type": "MarkdownNote", "pos": [ -680, 523 ], "size": [ 620, 756 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [], "title": "Downloads", "properties": {}, "widgets_values": [ "## 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)." ], "widgets_values_named": { "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)." }, "color": "#432", "bgcolor": "#653" } ], "links": [ [ 239, 19, 0, 76, 0, "IMAGE" ], [ 240, 16, 0, 76, 1, "IMAGE" ], [ 241, 17, 0, 76, 2, "IMAGE" ], [ 242, 18, 0, 76, 3, "IMAGE" ], [ 243, 76, 0, 69, 0, "IMAGE" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "dba79dbf-16fc-41fc-81fe-07c0d2b8cde6", "version": 1, "state": { "lastGroupId": 17, "lastNodeId": 78, "lastLinkId": 256, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "ControlNet: control map from your image (pose / depth / edges)", "inputNode": { "id": -10, "bounding": [ -360, 0, 128, 328 ] }, "outputNode": { "id": -20, "bounding": [ 1737.6265625, 0, 128, 108 ] }, "inputs": [ { "id": "25fdb84d-cf82-4dae-b9ff-b8aecdf5b459", "name": "on_true", "type": "*", "linkIds": [ 121 ], "localized_name": "on_true", "shape": 7, "pos": [ 51, 24 ] }, { "id": "9d926bbd-d2f5-4074-a823-3a60d65fe6cf", "name": "switch", "type": "BOOLEAN", "linkIds": [ 120 ], 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