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  1. .gitattributes +9 -0
  2. qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/Mannequin-mid_2191265-vid_2467252.csv +7 -0
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+ "description": "<p>Creates pose dummy mannequins from reference images.</p><p>The intended use case is to use the resulting images as pose references for pose transfer or for LoRA training.</p><p>Sample prompt:</p><pre><code>Generate a picture of abstract CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, and an abstract representation of facial expression. The mannequins do not have any hair. They have perfectly clean gray skin with a black wireframe overlaid on top without any discolorations. The background of the image is a plain featureless middle gray void. Do not include any objects the people in the image may or may not be interacting with.</code></pre><p>You can get somewhat similar results out of base Qwen-Image-Edit with appropriate prompting, but it is a lot less consistent in my experience.</p><p>It seems to work okay with cfg = 1.0 and steps = 20. Higher cfg values can produce better results, but may affect how faithful the result is.<br />The 8-step Lightning LoRA can also be very viable and often produces cleaner results.</p><p>Notes:</p><ul><li><p>The model seems to be quite flexible with output styles. Although it was trained exclusively on gray wireframe mannequins as output images, it is able to produce significantly more realistic results.</p></li><li><p>It works well with inpainting if you mask the characters. The mask doesn't need to be pixel-perfect either.</p></li></ul><p></p>",
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\"image1\": [\"8\", 0], \"reference\": [\"137\", 0]}, \"class_type\": \"ImageStitcher\", \"_meta\": {\"title\": \"ImageStitcher\"}}, \"133\": {\"inputs\": {\"n\": 16, \"image\": [\"132\", 0]}, \"class_type\": \"ImageCropBorders\", \"_meta\": {\"title\": \"ImageCropBorders\"}}, \"134\": {\"inputs\": {\"images\": [\"132\", 1]}, \"class_type\": \"PreviewImage\", \"_meta\": {\"title\": \"Preview Image\"}}, \"136\": {\"inputs\": {\"sensivity\": 0.05}, \"class_type\": \"ImageDiffMask\", \"_meta\": {\"title\": \"ImageDiffMask\"}}, \"137\": {\"inputs\": {\"blur_radius\": 6, \"sigma\": 1.0, \"image\": [\"122\", 0]}, \"class_type\": \"FreqSplitTiled\", \"_meta\": {\"title\": \"FreqSplitTiled\"}}}, \"workflow\": {\"id\": \"91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb\", \"revision\": 0, \"last_node_id\": 139, \"last_link_id\": 283, \"nodes\": [{\"id\": 75, \"type\": \"CFGNorm\", \"pos\": [740, -20], \"size\": [290, 60], \"flags\": {}, \"order\": 20, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 141}], \"outputs\": [{\"name\": \"patched_model\", \"type\": \"MODEL\", \"links\": [186]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"CFGNorm\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"strength\": true}}}, \"widgets_values\": [1]}, {\"id\": 66, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [740, -130], \"size\": [290, 60], \"flags\": {}, \"order\": 18, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 185}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [141]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [3]}, {\"id\": 108, \"type\": \"LoadImage\", \"pos\": [352.16015625, 530], \"size\": [274.080078125, 314.0000305175781], \"flags\": {}, \"order\": 0, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [217]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}}}, \"widgets_values\": [\"pose.png\", \"image\"]}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [-840, -140], \"size\": [550, 550], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model links\", \"properties\": {\"widget_ue_connectable\": {}}, \"widgets_values\": [\"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) | [\\u6559\\u7a0b](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image-edit)\\n\\n\\n## Model links\\n\\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \\n\\n**Diffusion model**\\n\\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\\n\\n**LoRA**\\n\\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\\n\\n**Text encoder**\\n\\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\\n\\n**VAE**\\n\\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_edit_2509_fp8_e4m3fn.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Qwen-Image-Lightning-4steps-V1.0.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_vae.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2514\\u2500\\u2500 qwen_2.5_vl_7b_fp8_scaled.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 38, \"type\": \"CLIPLoader\", \"pos\": [-250, 160], \"size\": [330, 110], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"slot_index\": 0, \"links\": [205]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"CLIPLoader\", \"models\": [{\"name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"directory\": \"text_encoders\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"qwen_image\", \"default\"]}, {\"id\": 39, \"type\": \"VAELoader\", \"pos\": [-250, 320], \"size\": [330, 60], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"slot_index\": 0, \"links\": [76, 168]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"VAELoader\", \"models\": [{\"name\": \"qwen_image_vae.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors\", \"directory\": \"vae\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"qwen_image_vae.safetensors\"]}, {\"id\": 106, \"type\": \"LoadImage\", \"pos\": [1096.080078125, 658], \"size\": [274.080078125, 314.0000305175781], \"flags\": {}, \"order\": 4, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [219]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}}}, \"widgets_values\": [\"photo_2025-09-21_00-11-07.jpg\", \"image\"]}, {\"id\": 89, \"type\": \"LoraLoaderModelOnly\", \"pos\": [-255, 43], \"size\": [454, 82], \"flags\": {}, \"order\": 16, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 261}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [185]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoraLoaderModelOnly\", \"models\": [{\"name\": \"Qwen-Image-Lightning-4steps-V1.0.safetensors\", \"url\": \"https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors\", \"directory\": \"loras\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"lora_name\": true, \"strength_model\": true}}}, \"widgets_values\": [\"Qwen-Image-Lightning-4steps-V2.0.safetensors\", 1]}, {\"id\": 118, \"type\": \"Reroute\", \"pos\": [-461.343017578125, 614.6639404296875], \"size\": [75, 26], \"flags\": {}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 229}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [240]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 112, \"type\": \"EmptySD3LatentImage\", \"pos\": [738, 670], \"size\": [270, 106], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"EmptySD3LatentImage\"}, \"widgets_values\": [1664, 2496, 1]}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [1445, 758], \"size\": [300, 160], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: KSampler settings\", \"properties\": {}, \"widgets_values\": [\"You can test and find the best setting by yourself. The following table is for reference.\\n\\n| Model | Steps | CFG |\\n|---------------------|---------------|---------------|\\n| Offical | 50 | 4.0 \\n| fp8_e4m3fn | 20 | 2.5 |\\n| fp8_e4m3fn + 4steps LoRA | 4 | 1.0 |\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 125, \"type\": \"ConditioningZeroOut\", \"pos\": [404.3569641113281, 258.763916015625], \"size\": [197.66665649414062, 26], \"flags\": {}, \"order\": 28, \"mode\": 0, \"inputs\": [{\"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 247}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [248]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"ConditioningZeroOut\"}, \"widgets_values\": []}, {\"id\": 126, \"type\": \"ReferenceLatent\", \"pos\": [462.3569641113281, 156.763916015625], \"size\": [197.66665649414062, 46], \"flags\": {}, \"order\": 29, \"mode\": 0, \"inputs\": [{\"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 249}, {\"name\": \"latent\", \"shape\": 7, \"type\": \"LATENT\", \"link\": 251}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [250]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"ReferenceLatent\"}, \"widgets_values\": []}, {\"id\": 88, \"type\": \"VAEEncode\", \"pos\": [311, 409], \"size\": [140, 46], \"flags\": {}, \"order\": 24, \"mode\": 0, \"inputs\": [{\"name\": \"pixels\", \"type\": \"IMAGE\", \"link\": 231}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 168}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": [244, 251]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"VAEEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}}}, \"widgets_values\": []}, {\"id\": 115, \"type\": \"UnetLoaderGGUF\", \"pos\": [-210.34304809570312, -80.33607482910156], \"size\": [270, 58], \"flags\": {}, \"order\": 7, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [278]}], \"properties\": {\"cnr_id\": \"comfyui-gguf\", \"ver\": \"1.1.4\", \"Node name for S&R\": \"UnetLoaderGGUF\"}, \"widgets_values\": [\"Qwen-Image-Edit-2509-Q5_K_M.gguf\"]}, {\"id\": 60, \"type\": \"SaveImage\", \"pos\": [1070, -30], \"size\": [210, 282], \"flags\": {}, \"order\": 36, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 270}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"SaveImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"Qwen_edit_%date:yyyy-MM-dd%\"]}, {\"id\": 130, \"type\": \"ImageMirrorPad\", \"pos\": [-181, 1047.5], \"size\": [270, 58], \"flags\": {}, \"order\": 21, \"mode\": 4, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 277}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [264]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageMirrorPad\"}, \"widgets_values\": [16]}, {\"id\": 117, \"type\": \"ImageScaleToTotalPixelsRound8\", \"pos\": [-132.343017578125, 772.6639404296875], \"size\": [304.54998779296875, 82], \"flags\": {}, \"order\": 23, \"mode\": 4, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 264}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [231, 233, 234, 265]}], \"properties\": {\"Node name for S&R\": \"ImageScaleToTotalPixelsRound8\"}, \"widgets_values\": [\"bilinear\", 1]}, {\"id\": 131, \"type\": \"Reroute\", \"pos\": [1242, -375.5], \"size\": [75, 26], \"flags\": {}, \"order\": 27, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 265}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [266]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 133, \"type\": \"ImageCropBorders\", \"pos\": [1777, -304.5], \"size\": [270, 58], \"flags\": {}, \"order\": 34, \"mode\": 0, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 268}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [270]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageCropBorders\"}, \"widgets_values\": [16]}, {\"id\": 132, \"type\": \"ImageStitcher\", \"pos\": [1428, -358.5], \"size\": [273, 126], \"flags\": {}, \"order\": 32, \"mode\": 0, \"inputs\": [{\"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 267}, {\"name\": \"reference\", \"type\": \"IMAGE\", \"link\": 266}], \"outputs\": [{\"name\": \"stitched_image\", \"type\": \"IMAGE\", \"links\": [268]}, {\"name\": \"matches_visualization\", \"type\": \"IMAGE\", \"links\": [271]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageStitcher\"}, \"widgets_values\": [0.75, 4, true]}, {\"id\": 134, \"type\": \"PreviewImage\", \"pos\": [2135, -366.5], \"size\": [347, 487], \"flags\": {}, \"order\": 35, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 271}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"PreviewImage\"}, \"widgets_values\": []}, {\"id\": 123, \"type\": \"Reroute\", \"pos\": [1300.35693359375, 209.763916015625], \"size\": [75, 26], \"flags\": {}, \"order\": 13, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 276}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": []}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 116, \"type\": \"Image Comparer (rgthree)\", \"pos\": [1425.656982421875, -116.33609008789062], \"size\": [590, 811], \"flags\": {}, \"order\": 33, \"mode\": 0, \"inputs\": [{\"dir\": 3, \"name\": \"image_a\", \"type\": \"IMAGE\", \"link\": 283}, {\"dir\": 3, \"name\": \"image_b\", \"type\": \"IMAGE\", \"link\": 282}], \"outputs\": [], \"properties\": {\"cnr_id\": \"rgthree-comfy\", \"ver\": \"1.0.2509092031\", \"comparer_mode\": \"Slide\"}, \"widgets_values\": [[{\"name\": \"A\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_ygjxj_00013_.png&type=temp&subfolder=&rand=0.195481558335436\"}, {\"name\": \"B\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_ygjxj_00014_.png&type=temp&subfolder=&rand=0.1077150274651908\"}]]}, {\"id\": 136, \"type\": \"ImageDiffMask\", \"pos\": [2054, 287.5], \"size\": [270, 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[247, 249]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"TextEncodeQwenImageEditPlus\"}, \"widgets_values\": [\"Deblur image\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}, {\"id\": 119, \"type\": \"PreviewImage\", \"pos\": [234.65695190429688, 908.6639404296875], \"size\": [634, 760], \"flags\": {}, \"order\": 26, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 234}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"PreviewImage\"}, \"widgets_values\": []}, {\"id\": 113, \"type\": \"MarkdownNote\", \"pos\": [902, 1053], \"size\": [330, 90], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: About image size\", \"properties\": {}, \"widgets_values\": [\"You can use the latent from the **EmptySD3LatentImage** to replace **VAE Encode**, so you can customize the image size.\"], \"color\": \"#432\", 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