{ "id": "08988737-a544-4ab1-99fb-22d67b7c36e3", "revision": 0, "last_node_id": 76, "last_link_id": 159, "nodes": [ { "id": 29, "type": "SaveImage", "pos": [ -600, -30 ], "size": [ 880, 1020 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 44 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": [] } ], "properties": { "Node name for S&R": "SaveImage", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ "Krea2_turbo_style_reference" ], "widgets_values_named": { "filename_prefix": "Krea2_turbo_style_reference" } }, { "id": 30, "type": "b0e5ca93-2731-42b9-8e0a-d28ea851ff81", "pos": [ -1220, -30 ], "size": [ 560, 1010 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "label": "image1", "name": "image1", "shape": 7, "type": "IMAGE", "link": 136 }, { "name": "image2", "shape": 7, "type": "IMAGE", "link": null }, { "name": "image3", "shape": 7, "type": "IMAGE", "link": null }, { "label": "prompt", "name": "value_2", "type": "STRING", "widget": { "name": "value_2" }, "link": null }, { "label": "prompt_enhance", "name": "value", "type": "BOOLEAN", "widget": { "name": "value" }, "link": null }, { "label": "LLM_thinking_mode", "name": "thinking_1", "shape": 7, "type": "BOOLEAN", "widget": { "name": "thinking_1" }, "link": null }, { "label": "LLM_max_token", "name": "max_length_1", "type": "INT", "widget": { "name": "max_length_1" }, "link": null }, { "label": "width", "name": "width_1", "type": "INT", "widget": { "name": "width_1" }, "link": 158 }, { "label": "height", "name": "height_1", "type": "INT", "widget": { "name": "height_1" }, "link": 159 }, { "label": "seed", "name": "noise_seed", "type": "INT", "widget": { "name": "noise_seed" }, "link": null }, { "label": "lora_name", "name": "lora_name_1", "type": "COMBO", "widget": { "name": "lora_name_1" }, "link": null }, { "label": "lora_strength", "name": "strength_model_1", "type": "FLOAT", "widget": { "name": "strength_model_1" }, "link": null }, { "label": "unet_name", "name": "unet_name_1", "type": "COMBO", "widget": { "name": "unet_name_1" }, "link": null }, { "label": "clip_name", "name": "clip_name_1", "type": "COMBO", "widget": { "name": "clip_name_1" }, "link": null }, { "label": "vae_name", "name": "vae_name_1", "type": "COMBO", "widget": { "name": "vae_name_1" }, "link": null } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 44 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.25.0", "previewExposures": [ { "name": "$$canvas-image-preview", "sourceNodeId": "3", "sourcePreviewName": "$$canvas-image-preview" } ] }, "widgets_values": [ "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"", false, false, 512, 1024, 1024, 251161685108094, "krea2_style_reference.safetensors", 1, "krea2_turbo_int8_convrot.safetensors", "qwen3vl_4b_fp8_scaled.safetensors", "qwen_image_vae.safetensors" ], "widgets_values_named": { "value_2": "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"", "value": false, "thinking_1": false, "max_length_1": 512, "width_1": 1024, "height_1": 1024, "noise_seed": 251161685108094, "lora_name_1": "krea2_style_reference.safetensors", "strength_model_1": 1, "unet_name_1": "krea2_turbo_int8_convrot.safetensors", "clip_name_1": "qwen3vl_4b_fp8_scaled.safetensors", "vae_name_1": "qwen_image_vae.safetensors" } }, { "id": 48, "type": "MarkdownNote", "pos": [ -3070, -40 ], "size": [ 700, 990 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": {}, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [ostris/krea2_turbo_style_reference](https://huggingface.co/ostris/krea2_turbo_style_reference)\n\n**diffusion_models**\n\n- [krea2_turbo_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_style_reference.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_style_reference.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ krea2_turbo_int8_convrot.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā””ā”€ā”€ qwen3vl_4b_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā””ā”€ā”€ qwen_image_vae.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ loras/\nā”‚ ā””ā”€ā”€ krea2_style_reference.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" ], "widgets_values_named": { "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [ostris/krea2_turbo_style_reference](https://huggingface.co/ostris/krea2_turbo_style_reference)\n\n**diffusion_models**\n\n- [krea2_turbo_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_style_reference.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_style_reference.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ krea2_turbo_int8_convrot.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā””ā”€ā”€ qwen3vl_4b_fp8_scaled.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā””ā”€ā”€ qwen_image_vae.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ loras/\nā”‚ ā””ā”€ā”€ krea2_style_reference.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" }, "color": "#222", "bgcolor": "#000" }, { "id": 69, "type": "LoadImage", "pos": [ -2310, -40 ], "size": [ 640, 970 ], "flags": {}, "order": 1, "mode": 0, "inputs": [ { "label": "Reference Image", "name": "image", "type": "COMBO", "widget": { "name": "image" }, "link": null } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 136, 137 ] }, { "name": "MASK", "type": "MASK", "links": null } ], "properties": { "Node name for S&R": "LoadImage", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ "krea2_reference_image.png", "image" ], "widgets_values_named": { "image": "krea2_reference_image.png", "upload": "image" } }, { "id": 71, "type": "ResolutionSelector", "pos": [ -1572.6795000000002, 375.1103000000002 ], "size": [ 270, 170 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [ { "name": "width", "type": "INT", "links": [ 158 ] }, { "name": "height", "type": "INT", "links": [ 159 ] } ], "properties": { "Node name for S&R": "ResolutionSelector", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ "1:1 (Square)", 1, 8 ], "widgets_values_named": { "aspect_ratio": "1:1 (Square)", "megapixels": 1, "multiple": 8 } }, { "id": 75, "type": "GetImageSize", "pos": [ -1552.4461999999974, 659.9768999999992 ], "size": [ 230, 160 ], "flags": {}, "order": 3, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 137 } ], "outputs": [ { "name": "width", "type": "INT", "links": [] }, { "name": "height", "type": "INT", "links": [] }, { "name": "batch_size", "type": "INT", "links": null } ], 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Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding ā€” preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty ā€” match the user's stated intent.\n\nUser's Input:\n\n" ], "widgets_values_named": { "value": "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding ā€” preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty ā€” match the user's stated intent.\n\nUser's Input:\n\n" } }, { "id": 19, "type": "PrimitiveStringMultiline", "pos": [ -1050, -280 ], "size": [ 570, 800 ], "flags": {}, "order": 10, "mode": 0, "inputs": [ { "label": "prompt", "localized_name": "value", "name": "value", "type": "STRING", "widget": { "name": "value" }, "link": 141 } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "links": [ 22, 34 ] } ], "title": "Text String (User Prompt)", "properties": { "Node name for S&R": "PrimitiveStringMultiline", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"" ], "widgets_values_named": { "value": "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"" }, "color": "#322", "bgcolor": "#533" }, { "id": 20, "type": "PreviewAny", "pos": [ 570, 710 ], "size": [ 470, 550 ], "flags": { "collapsed": false }, "order": 11, "mode": 0, "inputs": [ { "localized_name": "source", "name": "source", "type": "*", "link": 27 } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "links": [ 112 ] } ], "properties": { "Node name for S&R": "PreviewAny", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [], "widgets_values_named": {} }, { "id": 21, "type": "ComfySwitchNode", "pos": [ 170, 1270 ], "size": [ 270, 130 ], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "localized_name": "on_false", "name": "on_false", "shape": 7, "type": "STRING", "link": 34 }, { "localized_name": "on_true", "name": "on_true", "shape": 7, "type": "STRING", "link": 33 }, { "localized_name": "switch", "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" }, "link": 32 } ], "outputs": [ { "localized_name": "output", "name": "output", "type": "STRING", "links": [ 27 ] } ], "properties": { "Node name for S&R": "ComfySwitchNode", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ false ], "widgets_values_named": { "switch": false } }, { "id": 24, "type": "PrimitiveBoolean", "pos": [ -940, 750 ], "size": [ 270, 110 ], "flags": {}, "order": 13, "mode": 0, "inputs": [ { "localized_name": "value", "name": "value", "type": "BOOLEAN", "widget": { "name": "value" }, "link": 142 } ], "outputs": [ { "localized_name": "BOOLEAN", "name": "BOOLEAN", "type": "BOOLEAN", "links": [ 32 ] } ], "title": "Boolean (Refine Prompt?)", "properties": { "Node name for S&R": "PrimitiveBoolean", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ false ], "widgets_values_named": { "value": false } }, { "id": 52, "type": "TextEncodeQwenImageEditPlus", "pos": [ 110, -250 ], "size": [ 460, 240 ], "flags": {}, "order": 14, "mode": 0, "inputs": [ { "localized_name": "clip", "name": "clip", "type": "CLIP", "link": 73 }, { "localized_name": "vae", "name": "vae", "shape": 7, "type": "VAE", "link": 120 }, { "localized_name": "image1", "name": "image1", "shape": 7, "type": "IMAGE", "link": 78 }, { "localized_name": "image2", "name": "image2", "shape": 7, "type": "IMAGE", "link": 139 }, { "localized_name": "image3", "name": "image3", "shape": 7, "type": "IMAGE", "link": 140 }, { "localized_name": "prompt", "name": "prompt", "type": "STRING", "widget": { "name": "prompt" }, "link": 112 } ], "outputs": [ { "localized_name": "CONDITIONING", "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 75 ] } ], "properties": { "Node name for S&R": "TextEncodeQwenImageEditPlus", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ "cute" ], "widgets_values_named": { "prompt": "cute" } }, { "id": 53, "type": "FluxKontextMultiReferenceLatentMethod", "pos": [ 110, 40 ], "size": [ 460, 140 ], "flags": {}, "order": 15, "mode": 0, "showAdvanced": true, "inputs": [ { "localized_name": "conditioning", "name": "conditioning", "type": "CONDITIONING", "link": 75 } ], "outputs": [ { "localized_name": "CONDITIONING", "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 77, 96 ] } ], "properties": { "Node name for S&R": "FluxKontextMultiReferenceLatentMethod", "cnr_id": "comfy-core", "ver": "0.5.1", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.2", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "index_timestep_zero" ], "widgets_values_named": { "reference_latents_method": "index_timestep_zero" }, "color": "#222", "bgcolor": "#000" }, { "id": 57, "type": "CFGGuider", "pos": [ 920, -120 ], "size": [ 270, 130 ], "flags": {}, "order": 16, "mode": 0, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 86 }, { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "link": 96 }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "link": 97 } ], "outputs": [ { "localized_name": "GUIDER", "name": "GUIDER", "type": "GUIDER", "links": [ 88 ] } ], "properties": { "Node name for S&R": "CFGGuider", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ 1 ], "widgets_values_named": { "cfg": 1 } }, { "id": 58, "type": "SamplerCustomAdvanced", "pos": [ 1240, -270 ], "size": [ 230, 400 ], "flags": {}, "order": 17, "mode": 0, "inputs": [ { "localized_name": "noise", "name": "noise", "type": "NOISE", "link": 87 }, { "localized_name": "guider", "name": "guider", "type": "GUIDER", "link": 88 }, { "localized_name": "sampler", "name": "sampler", "type": "SAMPLER", "link": 89 }, { "localized_name": "sigmas", "name": "sigmas", "type": "SIGMAS", "link": 90 }, { "localized_name": "latent_image", "name": "latent_image", "type": "LATENT", "link": 91 } ], "outputs": [ { "localized_name": "output", "name": "output", "type": "LATENT", "links": [ 93 ] }, { "localized_name": "denoised_output", "name": "denoised_output", "type": "LATENT", "links": null } ], "properties": { "Node name for S&R": "SamplerCustomAdvanced", "cnr_id": "comfy-core", "ver": "0.28.0" } }, { "id": 59, "type": "KSamplerSelect", "pos": [ 920, 50 ], "size": [ 270, 90 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "localized_name": "SAMPLER", "name": "SAMPLER", "type": "SAMPLER", "links": [ 89 ] } ], "properties": { "Node name for S&R": "KSamplerSelect", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ "euler" ], "widgets_values_named": { "sampler_name": "euler" } }, { "id": 60, "type": "BasicScheduler", "pos": [ 920, 180 ], "size": [ 270, 150 ], "flags": {}, "order": 18, "mode": 0, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 92 } ], "outputs": [ { "localized_name": "SIGMAS", "name": "SIGMAS", "type": "SIGMAS", "links": [ 90 ] } ], "properties": { "Node name for S&R": "BasicScheduler", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ "simple", 8, 1 ], "widgets_values_named": { "scheduler": "simple", "steps": 8, "denoise": 1 } }, { "id": 61, "type": "EmptyLatentImage", "pos": [ 920, 360 ], "size": [ 270, 150 ], "flags": {}, "order": 19, "mode": 0, "inputs": [ { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 147 }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 151 } ], "outputs": [ { "localized_name": "LATENT", "name": "LATENT", "type": "LATENT", "links": [ 91 ] } ], "properties": { "Node name for S&R": "EmptyLatentImage", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ 1024, 1024, 1 ], "widgets_values_named": { "width": 1024, "height": 1024, "batch_size": 1 } }, { "id": 62, "type": "VAEDecode", "pos": [ 1750, 70 ], "size": [ 230, 80 ], "flags": {}, "order": 20, "mode": 0, "inputs": [ { "localized_name": "samples", "name": "samples", "type": "LATENT", "link": 93 }, { "localized_name": "vae", "name": "vae", "type": 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"name": "model", "type": "MODEL", "link": 95 }, { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 148 }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 150 } ], "outputs": [ { "localized_name": "MODEL", "name": "MODEL", "type": "MODEL", "links": [ 86, 92 ] } ], "properties": { "Node name for S&R": "ModelSamplingFlux", "cnr_id": "comfy-core", "ver": "0.28.0" }, "widgets_values": [ 1.15, 0.5, 1024, 1024 ], "widgets_values_named": { "max_shift": 1.15, "base_shift": 0.5, "width": 1024, "height": 1024 } } ], "groups": [ { "id": 1, "title": "Models", "bounding": [ -430, -320, 490, 850 ], "color": "#3f789e", "flags": {} }, { "id": 4, "title": "Prompt Enhancement", "bounding": [ -440, 580, 1940, 840 ], "color": "#3f789e", "flags": {} }, { "id": 5, "title": "User Prompt", "bounding": [ -1080, -360, 610, 910 ], "color": "#3f789e", "flags": {} }, { "id": 6, "title": "Image Generation", 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