{"id":"785ac08c-ae9d-4b9b-a066-f14fc5fea94a","revision":0,"last_node_id":54,"last_link_id":82,"nodes":[{"id":47,"type":"MarkdownNote","pos":[-108.04344799338838,-302.794947662588],"size":[225,0],"flags":{"collapsed":true},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"LoRA Trigger Words and Settings","properties":{},"widgets_values":["Download the style LoRAs used in this workflow from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras). Place the `.safetensors` files in `ComfyUI/models/loras/`.\n\n| LoRA                   | Trigger Words                        | Recommended Strength |\n|------------------------|--------------------------------------|-------|\n| `krea2_darkbrush`      | `monochrome ink wash style`          | `1.0` |\n| `krea2_dotmatrix`      | `monochrome stippling style`         | `1.0` |\n| `krea2_kidsdrawing`    | `naive expressive sketch style`      | `1.0` |\n| `krea2_neondrip`       | `textured abstract style`            | `1.0` |\n| `krea2_rainywindow`    | `rainy window style`                 | `1.0` |\n| `krea2_retroanime`     | `purple retro anime style`           | `1.0` |\n| `krea2_softwatercolor` | `art deco watercolor style`          | `1.0` |\n| `krea2_sunsetblur`     | `ethereal motion blur style`         | `1.0` |\n| `krea2_vintagetarot`   | `vintage tarot style`                | `1.0` |"],"widgets_values_named":{"text":"Download the style LoRAs used in this workflow from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras). Place the `.safetensors` files in `ComfyUI/models/loras/`.\n\n| LoRA                   | Trigger Words                        | Recommended Strength |\n|------------------------|--------------------------------------|-------|\n| `krea2_darkbrush`      | `monochrome ink wash style`          | `1.0` |\n| `krea2_dotmatrix`      | `monochrome stippling style`         | `1.0` |\n| `krea2_kidsdrawing`    | `naive expressive sketch style`      | `1.0` |\n| `krea2_neondrip`       | `textured abstract style`            | `1.0` |\n| `krea2_rainywindow`    | `rainy window style`                 | `1.0` |\n| `krea2_retroanime`     | `purple retro anime style`           | `1.0` |\n| `krea2_softwatercolor` | `art deco watercolor style`          | `1.0` |\n| `krea2_sunsetblur`     | `ethereal motion blur style`         | `1.0` |\n| `krea2_vintagetarot`   | `vintage tarot style`                | `1.0` |"},"color":"#222","bgcolor":"#000"},{"id":48,"type":"MarkdownNote","pos":[158.37799770354798,-300.87289851864546],"size":[225,0],"flags":{"collapsed":true},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.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_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── krea2_turbo_fp8_scaled.safetensors\n│   ├── 📂 text_encoders/\n│   │   └── qwen3vl_4b_fp8_scaled.safetensors\n│   ├── 📂 vae/\n│   │   └── qwen_image_vae.safetensors\n│   └── 📂 loras/\n│       └── krea2_darkbrush.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 (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.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_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── krea2_turbo_fp8_scaled.safetensors\n│   ├── 📂 text_encoders/\n│   │   └── qwen3vl_4b_fp8_scaled.safetensors\n│   ├── 📂 vae/\n│   │   └── qwen_image_vae.safetensors\n│   └── 📂 loras/\n│       └── krea2_darkbrush.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":50,"type":"MarkdownNote","pos":[411.94821081387204,-299.7676493997009],"size":[225,0],"flags":{"collapsed":true},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"Note: Krea-2","properties":{},"widgets_values":["Guide: [krea-2](https://docs.comfy.org/tutorials/image/krea/krea-2)\n\nThis workflow generates images with **Krea-2 Turbo**, a fast distilled text-to-image model. The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). You can turn it off to use your prompt as-is, or replace the built-in module with **OpenAI** or **Gemini** API nodes.\n\n**Feature Switch**: Quick toggles on the left side of the subgraph:\n- `prompt_enhance`: enable or disable prompt expansion\n- `enable_lora?`: enable or disable the style LoRA\n\n**Image Generation**: Handles latent sizing, sampling (8 steps), and VAE decode to produce the final image.\n\nWhen using a LoRA, set `enable_lora?` to true, select the matching file in **LoraLoaderModelOnly**, and adjust `lora_strength` as needed.\n\n## LoRA & Trigger Word (CustomCombo)\n\nOn the main canvas, the **CustomCombo** node is where you choose which style LoRA you are using (e.g. `krea2_coolblue`, `krea2_darkbrush`). The workflow uses your selection to automatically append the correct **trigger word** to your prompt.\n\n- Download LoRA files from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras) and place them in `ComfyUI/models/loras/`\n- Select the LoRA name that matches the file loaded inside the subgraph\n- The trigger word is applied for you: no need to type it manually\n- For trigger words and recommended strength values, see the **LoRA Trigger Words and Settings** note beside this workflow\n"],"widgets_values_named":{"text":"Guide: [krea-2](https://docs.comfy.org/tutorials/image/krea/krea-2)\n\nThis workflow generates images with **Krea-2 Turbo**, a fast distilled text-to-image model. The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). You can turn it off to use your prompt as-is, or replace the built-in module with **OpenAI** or **Gemini** API nodes.\n\n**Feature Switch**: Quick toggles on the left side of the subgraph:\n- `prompt_enhance`: enable or disable prompt expansion\n- `enable_lora?`: enable or disable the style LoRA\n\n**Image Generation**: Handles latent sizing, sampling (8 steps), and VAE decode to produce the final image.\n\nWhen using a LoRA, set `enable_lora?` to true, select the matching file in **LoraLoaderModelOnly**, and adjust `lora_strength` as needed.\n\n## LoRA & Trigger Word (CustomCombo)\n\nOn the main canvas, the **CustomCombo** node is where you choose which style LoRA you are using (e.g. `krea2_coolblue`, `krea2_darkbrush`). The workflow uses your selection to automatically append the correct **trigger word** to your prompt.\n\n- Download LoRA files from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras) and place them in `ComfyUI/models/loras/`\n- Select the LoRA name that matches the file loaded inside the subgraph\n- The trigger word is applied for you: no need to type it manually\n- For trigger words and recommended strength values, see the **LoRA Trigger Words and Settings** note beside this workflow\n"},"color":"#222","bgcolor":"#000"},{"id":49,"type":"ResolutionSelector","pos":[-519.1271125869193,5.963790474228688],"size":[269.796875,189.796875],"flags":{"collapsed":false},"order":3,"mode":0,"showAdvanced":false,"inputs":[{"localized_name":"aspect_ratio","name":"aspect_ratio","type":"COMBO","widget":{"name":"aspect_ratio"},"link":null},{"localized_name":"megapixels","name":"megapixels","type":"FLOAT","widget":{"name":"megapixels"},"link":null},{"localized_name":"multiple","name":"multiple","type":"INT","widget":{"name":"multiple"},"link":null}],"outputs":[{"localized_name":"width","name":"width","type":"INT","links":[69]},{"localized_name":"height","name":"height","type":"INT","links":[71]}],"properties":{"Node name for S&R":"ResolutionSelector","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["16:9 (Widescreen)",1,8],"widgets_values_named":{"aspect_ratio":"16:9 (Widescreen)","megapixels":1,"multiple":8}},{"id":30,"type":"b0e5ca93-2731-42b9-8e0a-d28ea851ff81","pos":[-155.1492044477962,-214.0468910356917],"size":[759.109375,1084.1875],"flags":{"collapsed":false},"order":4,"mode":0,"inputs":[{"name":"value","type":"STRING","widget":{"name":"value"},"link":null},{"label":"prompt_enhance","name":"value_1","type":"BOOLEAN","widget":{"name":"value_1"},"link":null},{"label":"LLM_max_token","name":"max_length","type":"INT","widget":{"name":"max_length"},"link":null},{"name":"width","type":"INT","widget":{"name":"width"},"link":69},{"name":"height","type":"INT","widget":{"name":"height"},"link":71},{"name":"seed","type":"INT","widget":{"name":"seed"},"link":null},{"label":"enable_lora?","name":"value_2","type":"BOOLEAN","widget":{"name":"value_2"},"link":null},{"name":"lora_name","type":"COMBO","widget":{"name":"lora_name"},"link":null},{"label":"lora_strength","name":"strength_model","type":"FLOAT","widget":{"name":"strength_model"},"link":null},{"label":"lora_trigger_word","name":"string_b","type":"STRING","widget":{"name":"string_b"},"link":null},{"name":"unet_name","type":"COMBO","widget":{"name":"unet_name"},"link":null},{"name":"clip_name","type":"COMBO","widget":{"name":"clip_name"},"link":null},{"name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null},{"name":"sampling_mode.temperature","type":"FLOAT","widget":{"name":"sampling_mode.temperature"},"link":null},{"name":"steps","type":"INT","widget":{"name":"steps"},"link":null},{"name":"cfg","type":"FLOAT","widget":{"name":"cfg"},"link":null},{"name":"value_3","type":"STRING","widget":{"name":"value_3"},"link":null}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[80,82]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","previewExposures":[{"name":"$$canvas-image-preview","sourceNodeId":"3","sourcePreviewName":"$$canvas-image-preview"}]},"widgets_values":["prompt.",false,533,512,512,759842478219598,true,"snofs_krea_v1_1.safetensors",1,"","krea2_turbo_bf16.safetensors","qwen3vl_4b_fp8_scaled.safetensors","qwen_image_vae.safetensors",0.8,8,1,"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 — 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 — match the user's stated intent.\n\nUser's Input:\n\n"],"widgets_values_named":{"value":"prompt.","value_1":false,"max_length":533,"width":512,"height":512,"seed":759842478219598,"value_2":true,"lora_name":"snofs_krea_v1_1.safetensors","strength_model":1,"string_b":"","unet_name":"krea2_turbo_bf16.safetensors","clip_name":"qwen3vl_4b_fp8_scaled.safetensors","vae_name":"qwen_image_vae.safetensors","sampling_mode.temperature":0.8,"steps":8,"cfg":1,"value_3":"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 — 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 — match the user's stated intent.\n\nUser's Input:\n\n"}},{"id":52,"type":"SaveImage","pos":[976.0057876046199,-166.211555462202],"size":[225,0],"flags":{"collapsed":true},"order":7,"mode":4,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":81},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null}],"outputs":[{"localized_name":"images","name":"images","type":"IMAGE","links":[]}],"properties":{"Node name for S&R":"SaveImage","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["img"],"widgets_values_named":{"filename_prefix":"img"}},{"id":53,"type":"ImageScale","pos":[666.0563463881784,-202.54176505913523],"size":[269.796875,146],"flags":{},"order":5,"mode":4,"inputs":[{"localized_name":"image","name":"image","type":"IMAGE","link":80},{"localized_name":"upscale_method","name":"upscale_method","type":"COMBO","widget":{"name":"upscale_method"},"link":null},{"localized_name":"width","name":"width","type":"INT","widget":{"name":"width"},"link":null},{"localized_name":"height","name":"height","type":"INT","widget":{"name":"height"},"link":null},{"localized_name":"crop","name":"crop","type":"COMBO","widget":{"name":"crop"},"link":null}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[81]}],"properties":{"Node name for S&R":"ImageScale"},"widgets_values":["bicubic",5184,3456,"disabled"],"widgets_values_named":{"upscale_method":"bicubic","width":5184,"height":3456,"crop":"disabled"}},{"id":54,"type":"SaveImage","pos":[676.6933487539058,33.727497462858366],"size":[225,306],"flags":{"collapsed":false},"order":6,"mode":0,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":82},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null}],"outputs":[{"localized_name":"images","name":"images","type":"IMAGE","links":[]}],"properties":{"Node name for S&R":"SaveImage","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["img"],"widgets_values_named":{"filename_prefix":"img"}}],"links":[[69,49,0,30,3,"INT"],[71,49,1,30,4,"INT"],[80,30,0,53,0,"IMAGE"],[81,53,0,52,0,"IMAGE"],[82,30,0,54,0,"IMAGE"]],"groups":[],"definitions":{"subgraphs":[{"id":"b0e5ca93-2731-42b9-8e0a-d28ea851ff81","version":1,"state":{"lastGroupId":10,"lastNodeId":54,"lastLinkId":82,"lastRerouteId":0},"revision":0,"config":{},"name":"Text to Image (Krea-2 Turbo)","inputNode":{"id":-10,"bounding":[-1720,410,209.830078125,388]},"outputNode":{"id":-20,"bounding":[1560,496,128,68]},"inputs":[{"id":"b0f5c754-5322-440c-8c1c-ba732e910d33","name":"value","type":"STRING","linkIds":[45],"pos":[-1534.169921875,434]},{"id":"47b0e74d-ef80-4423-a7a6-9bd1673092bb","name":"value_1","type":"BOOLEAN","linkIds":[46],"label":"prompt_enhance","pos":[-1534.169921875,454]},{"id":"5fc735ae-a50b-4363-bff9-850030ad5dd5","name":"max_length","type":"INT","linkIds":[49],"label":"LLM_max_token","pos":[-1534.169921875,474]},{"id":"2d1c0f16-25d7-46d1-b774-e6b5519810ae","name":"width","type":"INT","linkIds":[50],"pos":[-1534.169921875,494]},{"id":"8bb87b44-fecc-46d7-bdae-642002250a43","name":"height","type":"INT","linkIds":[51],"pos":[-1534.169921875,514]},{"id":"75652c4f-cde2-4ad7-b322-73d47b533ef8","name":"seed","type":"INT","linkIds":[56],"pos":[-1534.169921875,534]},{"id":"b0ca5f55-a223-40de-9e37-aaf2cf0904dd","name":"value_2","type":"BOOLEAN","linkIds":[57],"label":"enable_lora?","pos":[-1534.169921875,554]},{"id":"eb2e846b-2e6c-49a2-bc56-9c772c8a1862","name":"lora_name","type":"COMBO","linkIds":[58],"pos":[-1534.169921875,574]},{"id":"d2693bbb-bb95-4fb1-9a3d-27a1bb0b664b","name":"strength_model","type":"FLOAT","linkIds":[59],"label":"lora_strength","pos":[-1534.169921875,594]},{"id":"e2031135-b490-4909-b1ec-6b00aecf819e","name":"string_b","type":"STRING","linkIds":[60],"label":"lora_trigger_word","pos":[-1534.169921875,614]},{"id":"14e2eb6a-5fa1-40c9-81d1-a928360fcd80","name":"unet_name","type":"COMBO","linkIds":[61],"pos":[-1534.169921875,634]},{"id":"e27ba0c5-697f-44f4-b475-c2dcfa594724","name":"clip_name","type":"COMBO","linkIds":[62],"pos":[-1534.169921875,654]},{"id":"75c25d8e-b881-46e4-aca7-d2ada9e147d0","name":"vae_name","type":"COMBO","linkIds":[63],"pos":[-1534.169921875,674]},{"id":"2358c3ff-891a-4f06-a8a5-6172ca6347fc","name":"sampling_mode.temperature","type":"FLOAT","linkIds":[75],"pos":[-1534.169921875,694]},{"id":"f27c2906-aedc-4b6b-bf97-6702bbbadd57","name":"steps","type":"INT","linkIds":[76],"pos":[-1534.169921875,714]},{"id":"d417b679-16b3-4c7b-a861-dbb0a1e66118","name":"cfg","type":"FLOAT","linkIds":[77],"pos":[-1534.169921875,734]},{"id":"d21b36b0-93f1-4bed-bcbf-716a88d7b84a","name":"value_3","type":"STRING","linkIds":[78],"pos":[-1534.169921875,754]}],"outputs":[{"id":"e4073813-752d-4584-96b5-6e42eac355dd","name":"IMAGE","type":"IMAGE","linkIds":[43],"localized_name":"IMAGE","pos":[1584,520]}],"widgets":[],"nodes":[{"id":6,"type":"CLIPTextEncode","pos":[361.2512890624991,-248.79945312499967],"size":[480,420],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":10},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":72}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[4,13]}],"properties":{"Node name for S&R":"CLIPTextEncode","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["A high-resolution, surreal digital illustration showing a human hand holding a martini glass. The image is overlaid with whimsical, expressive ink-style doodles, including a cartoon figure inside the glass, a drawn citrus wedge on the rim, and various abstract sketches and faces surrounding the glass against a clean, white background. The style seamlessly blends a realistic, lit photograph with loose, hand-drawn marker artistry, creating a playful and artistic juxtaposition."],"widgets_values_named":{"text":"A high-resolution, surreal digital illustration showing a human hand holding a martini glass. The image is overlaid with whimsical, expressive ink-style doodles, including a cartoon figure inside the glass, a drawn citrus wedge on the rim, and various abstract sketches and faces surrounding the glass against a clean, white background. The style seamlessly blends a realistic, lit photograph with loose, hand-drawn marker artistry, creating a playful and artistic juxtaposition."},"color":"#232","bgcolor":"#353"},{"id":5,"type":"EmptyLatentImage","pos":[434.08249999999987,344.04453124999975],"size":[320,170],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"width","name":"width","type":"INT","widget":{"name":"width"},"link":50},{"localized_name":"height","name":"height","type":"INT","widget":{"name":"height"},"link":51},{"localized_name":"batch_size","name":"batch_size","type":"INT","widget":{"name":"batch_size"},"link":null}],"outputs":[{"localized_name":"LATENT","name":"LATENT","type":"LATENT","slot_index":0,"links":[2]}],"properties":{"Node name for S&R":"EmptyLatentImage","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":[512,512,1],"widgets_values_named":{"width":512,"height":512,"batch_size":1}},{"id":3,"type":"KSampler","pos":[1151.2486328124983,-40.38859374999995],"size":[320,590],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":30},{"localized_name":"positive","name":"positive","type":"CONDITIONING","link":4},{"localized_name":"negative","name":"negative","type":"CONDITIONING","link":14},{"localized_name":"latent_image","name":"latent_image","type":"LATENT","link":2},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":56},{"localized_name":"steps","name":"steps","type":"INT","widget":{"name":"steps"},"link":76},{"localized_name":"cfg","name":"cfg","type":"FLOAT","widget":{"name":"cfg"},"link":77},{"localized_name":"sampler_name","name":"sampler_name","type":"COMBO","widget":{"name":"sampler_name"},"link":null},{"localized_name":"scheduler","name":"scheduler","type":"COMBO","widget":{"name":"scheduler"},"link":null},{"localized_name":"denoise","name":"denoise","type":"FLOAT","widget":{"name":"denoise"},"link":null}],"outputs":[{"localized_name":"LATENT","name":"LATENT","type":"LATENT","slot_index":0,"links":[7]}],"properties":{"Node name for S&R":"KSampler","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":[248314953251088,"randomize",8,1,"euler","simple",1],"widgets_values_named":{"seed":248314953251088,"control_after_generate":"randomize","steps":8,"cfg":1,"sampler_name":"euler","scheduler":"simple","denoise":1}},{"id":8,"type":"VAEDecode","pos":[1235.050546874998,-271.74410156250013],"size":[230,100],"flags":{"collapsed":false},"order":3,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":7},{"localized_name":"vae","name":"vae","type":"VAE","link":12}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","slot_index":0,"links":[43]}],"properties":{"Node name for S&R":"VAEDecode","cnr_id":"comfy-core","ver":"0.25.0"}},{"id":10,"type":"UNETLoader","pos":[-405.36324218750013,-242.1364062499998],"size":[450,140],"flags":{},"order":4,"mode":0,"inputs":[{"localized_name":"unet_name","name":"unet_name","type":"COMBO","widget":{"name":"unet_name"},"link":61},{"localized_name":"weight_dtype","name":"weight_dtype","type":"COMBO","widget":{"name":"weight_dtype"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[16,28]}],"properties":{"Node name for S&R":"UNETLoader","cnr_id":"comfy-core","ver":"0.25.0","models":[{"name":"krea2_turbo_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors","directory":"diffusion_models"}]},"widgets_values":["krea2_turbo_bf16.safetensors","default"],"widgets_values_named":{"unet_name":"krea2_turbo_bf16.safetensors","weight_dtype":"default"}},{"id":11,"type":"CLIPLoader","pos":[-407.10261718750024,167.46937500000016],"size":[450,170],"flags":{},"order":5,"mode":0,"inputs":[{"localized_name":"clip_name","name":"clip_name","type":"COMBO","widget":{"name":"clip_name"},"link":62},{"localized_name":"type","name":"type","type":"COMBO","widget":{"name":"type"},"link":null},{"localized_name":"device","name":"device","shape":7,"type":"COMBO","widget":{"name":"device"},"link":null}],"outputs":[{"localized_name":"CLIP","name":"CLIP","type":"CLIP","links":[10,18]}],"properties":{"Node name for S&R":"CLIPLoader","cnr_id":"comfy-core","ver":"0.25.0","models":[{"name":"qwen3vl_4b_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors","directory":"text_encoders"}]},"widgets_values":["qwen3vl_4b_fp8_scaled.safetensors","krea2","default"],"widgets_values_named":{"clip_name":"qwen3vl_4b_fp8_scaled.safetensors","type":"krea2","device":"default"}},{"id":12,"type":"VAELoader","pos":[-405.36324218750013,387.8635937499998],"size":[450,120],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"vae_name","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":63}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[12]}],"properties":{"Node name for S&R":"VAELoader","cnr_id":"comfy-core","ver":"0.25.0","models":[{"name":"qwen_image_vae.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors","directory":"vae"}]},"widgets_values":["qwen_image_vae.safetensors"],"widgets_values_named":{"vae_name":"qwen_image_vae.safetensors"}},{"id":13,"type":"ConditioningZeroOut","pos":[611.251289062495,221.2005468749989],"size":[225,26],"flags":{"collapsed":true},"order":7,"mode":0,"inputs":[{"localized_name":"conditioning","name":"conditioning","type":"CONDITIONING","link":13}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[14]}],"properties":{"Node name for S&R":"ConditioningZeroOut","cnr_id":"comfy-core","ver":"0.25.0"}},{"id":15,"type":"LoraLoaderModelOnly","pos":[-405.36324218750013,-52.13640624999992],"size":[450,170],"flags":{},"order":8,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":16},{"localized_name":"lora_name","name":"lora_name","type":"COMBO","widget":{"name":"lora_name"},"link":58},{"localized_name":"strength_model","name":"strength_model","type":"FLOAT","widget":{"name":"strength_model"},"link":59}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[29]}],"properties":{"Node name for S&R":"LoraLoaderModelOnly","cnr_id":"comfy-core","ver":"0.25.0","models":[{"name":"krea2_darkbrush.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors","directory":"loras"}]},"widgets_values":["Krea2_HMNSFW_AIO.safetensors",1],"widgets_values_named":{"lora_name":"Krea2_HMNSFW_AIO.safetensors","strength_model":1}},{"id":16,"type":"TextGenerate","pos":[60,650],"size":[400,412],"flags":{},"order":9,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":18},{"localized_name":"image","name":"image","shape":7,"type":"IMAGE","link":null},{"localized_name":"video","name":"video","shape":7,"type":"IMAGE","link":null},{"localized_name":"audio","name":"audio","shape":7,"type":"AUDIO","link":null},{"localized_name":"prompt","name":"prompt","type":"STRING","widget":{"name":"prompt"},"link":19},{"localized_name":"max_length","name":"max_length","type":"INT","widget":{"name":"max_length"},"link":49},{"localized_name":"sampling_mode","name":"sampling_mode","type":"COMFY_DYNAMICCOMBO_V3","widget":{"name":"sampling_mode"},"link":null},{"localized_name":"temperature","name":"sampling_mode.temperature","type":"FLOAT","widget":{"name":"sampling_mode.temperature"},"link":75},{"localized_name":"top_k","name":"sampling_mode.top_k","type":"INT","widget":{"name":"sampling_mode.top_k"},"link":null},{"localized_name":"top_p","name":"sampling_mode.top_p","type":"FLOAT","widget":{"name":"sampling_mode.top_p"},"link":null},{"localized_name":"min_p","name":"sampling_mode.min_p","type":"FLOAT","widget":{"name":"sampling_mode.min_p"},"link":null},{"localized_name":"repetition_penalty","name":"sampling_mode.repetition_penalty","type":"FLOAT","widget":{"name":"sampling_mode.repetition_penalty"},"link":null},{"localized_name":"seed","name":"sampling_mode.seed","type":"INT","widget":{"name":"sampling_mode.seed"},"link":null},{"localized_name":"presence_penalty","name":"sampling_mode.presence_penalty","shape":7,"type":"FLOAT","widget":{"name":"sampling_mode.presence_penalty"},"link":null},{"localized_name":"thinking","name":"thinking","shape":7,"type":"BOOLEAN","widget":{"name":"thinking"},"link":null},{"localized_name":"use_default_template","name":"use_default_template","shape":7,"type":"BOOLEAN","widget":{"name":"use_default_template"},"link":null}],"outputs":[{"localized_name":"generated_text","name":"generated_text","type":"STRING","links":[33]}],"properties":{"Node name for S&R":"TextGenerate","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["",512,"on",0.8,64,0.95,0.05,1.05,0,0,false,true],"widgets_values_named":{"prompt":"","max_length":512,"sampling_mode":"on","sampling_mode.temperature":0.8,"sampling_mode.top_k":64,"sampling_mode.top_p":0.95,"sampling_mode.min_p":0.05,"sampling_mode.repetition_penalty":1.05,"sampling_mode.seed":0,"sampling_mode.presence_penalty":0,"thinking":false,"use_default_template":true}},{"id":17,"type":"StringConcatenate","pos":[-210,1310],"size":[225,34],"flags":{"collapsed":true},"order":10,"mode":0,"inputs":[{"localized_name":"string_a","name":"string_a","type":"STRING","widget":{"name":"string_a"},"link":21},{"localized_name":"string_b","name":"string_b","type":"STRING","widget":{"name":"string_b"},"link":22},{"localized_name":"delimiter","name":"delimiter","type":"STRING","widget":{"name":"delimiter"},"link":null}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[19]}],"properties":{"Node name for S&R":"StringConcatenate","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["","",""],"widgets_values_named":{"string_a":"","string_b":"","delimiter":""}},{"id":18,"type":"PrimitiveStringMultiline","pos":[-430,650],"size":[460,610],"flags":{},"order":11,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"STRING","widget":{"name":"value"},"link":78}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[21]}],"title":"Text String (System Prompt)","properties":{"Node name for S&R":"PrimitiveStringMultiline","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["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 — 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 — 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 — 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 — match the user's stated intent.\n\nUser's Input:\n\n"}},{"id":19,"type":"PrimitiveStringMultiline","pos":[-1070,-290],"size":[570,800],"flags":{},"order":12,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"STRING","widget":{"name":"value"},"link":45}],"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 cute 2 year old dog, bichon frise and poodle mix, full white hair, named muffin, with right eye in blue, and left eye in dark brown, reading a book titled \"Zoomies: A Philosophy of Chaos\", sitting on sofa. the collar should say \"Muffin\", it is not a puppy, it is a big dog"],"widgets_values_named":{"value":"a cute 2 year old dog, bichon frise and poodle mix, full white hair, named muffin, with right eye in blue, and left eye in dark brown, reading a book titled \"Zoomies: A Philosophy of Chaos\", sitting on sofa. the collar should say \"Muffin\", it is not a puppy, it is a big dog"},"color":"#322","bgcolor":"#533"},{"id":20,"type":"PreviewAny","pos":[500,660],"size":[470,550],"flags":{"collapsed":false},"order":13,"mode":0,"inputs":[{"localized_name":"source","name":"source","type":"*","link":27}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[37,41]}],"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":14,"mode":0,"inputs":[{"localized_name":"on_false","name":"on_false","type":"STRING","link":34},{"localized_name":"on_true","name":"on_true","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":22,"type":"ComfySwitchNode","pos":[878.5590624999988,-269.5273437500001],"size":[320,130],"flags":{},"order":15,"mode":0,"inputs":[{"localized_name":"on_false","name":"on_false","type":"MODEL","link":28},{"localized_name":"on_true","name":"on_true","type":"MODEL","link":29},{"localized_name":"switch","name":"switch","type":"BOOLEAN","widget":{"name":"switch"},"link":31}],"outputs":[{"localized_name":"output","name":"output","type":"MODEL","links":[30]}],"title":"Switch (Model)","properties":{"Node name for S&R":"ComfySwitchNode","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":[false],"widgets_values_named":{"switch":false}},{"id":23,"type":"PrimitiveBoolean","pos":[-910,670],"size":[270,110],"flags":{},"order":16,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"BOOLEAN","widget":{"name":"value"},"link":57}],"outputs":[{"localized_name":"BOOLEAN","name":"BOOLEAN","type":"BOOLEAN","links":[31,42]}],"title":"Boolean (Enable LoRA?)","properties":{"Node name for S&R":"PrimitiveBoolean","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":[true],"widgets_values_named":{"value":true}},{"id":24,"type":"PrimitiveBoolean","pos":[-910,840],"size":[270,110],"flags":{},"order":17,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"BOOLEAN","widget":{"name":"value"},"link":46}],"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":27,"type":"StringConcatenate","pos":[1030,960],"size":[350,250],"flags":{"collapsed":false},"order":18,"mode":0,"inputs":[{"localized_name":"string_a","name":"string_a","type":"STRING","widget":{"name":"string_a"},"link":41},{"localized_name":"string_b","name":"string_b","type":"STRING","widget":{"name":"string_b"},"link":60},{"localized_name":"delimiter","name":"delimiter","type":"STRING","widget":{"name":"delimiter"},"link":null}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[38]}],"title":"Concatenate Text (LoRA Trigger Word)","properties":{"Node name for S&R":"StringConcatenate","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":["","",", "],"widgets_values_named":{"string_a":"","string_b":"","delimiter":", "}},{"id":28,"type":"ComfySwitchNode","pos":[1050,670],"size":[340,130],"flags":{},"order":19,"mode":0,"inputs":[{"localized_name":"on_false","name":"on_false","type":"STRING","link":37},{"localized_name":"on_true","name":"on_true","type":"STRING","link":38},{"localized_name":"switch","name":"switch","type":"BOOLEAN","widget":{"name":"switch"},"link":42}],"outputs":[{"localized_name":"output","name":"output","type":"STRING","links":[72]}],"properties":{"Node name for S&R":"ComfySwitchNode","cnr_id":"comfy-core","ver":"0.25.0"},"widgets_values":[false],"widgets_values_named":{"switch":false}}],"groups":[{"id":1,"title":"Models","bounding":[-425.36324218750013,-322.1364062500002,490,850],"color":"#3f789e","flags":{}},{"id":4,"title":"Prompt Enhancement","bounding":[-440,580,1940,840],"color":"#3f789e","flags":{}},{"id":5,"title":"Group","bounding":[-1080,-360,610,910],"color":"#3f789e","flags":{}},{"id":6,"title":"Image Generation","bounding":[-435.36324218750013,-362.1364062500002,1940,910],"color":"#3f789e","flags":{}},{"id":7,"title":"Prompt","bounding":[351.2512890624991,-318.7994531250001,500,570],"color":"#3f789e","flags":{}},{"id":8,"title":"Size","bounding":[354.0824999999997,264.0445312499999,500,260],"color":"#3f789e","flags":{}},{"id":9,"title":"Feature Switch","bounding":[-1080,580,610,400],"color":"#3f789e","flags":{}}],"links":[{"id":10,"origin_id":11,"origin_slot":0,"target_id":6,"target_slot":0,"type":"CLIP"},{"id":30,"origin_id":22,"origin_slot":0,"target_id":3,"target_slot":0,"type":"MODEL"},{"id":4,"origin_id":6,"origin_slot":0,"target_id":3,"target_slot":1,"type":"CONDITIONING"},{"id":14,"origin_id":13,"origin_slot":0,"target_id":3,"target_slot":2,"type":"CONDITIONING"},{"id":2,"origin_id":5,"origin_slot":0,"target_id":3,"target_slot":3,"type":"LATENT"},{"id":7,"origin_id":3,"origin_slot":0,"target_id":8,"target_slot":0,"type":"LATENT"},{"id":12,"origin_id":12,"origin_slot":0,"target_id":8,"target_slot":1,"type":"VAE"},{"id":13,"origin_id":6,"origin_slot":0,"target_id":13,"target_slot":0,"type":"CONDITIONING"},{"id":16,"origin_id":10,"origin_slot":0,"target_id":15,"target_slot":0,"type":"MODEL"},{"id":18,"origin_id":11,"origin_slot":0,"target_id":16,"target_slot":0,"type":"CLIP"},{"id":19,"origin_id":17,"origin_slot":0,"target_id":16,"target_slot":4,"type":"STRING"},{"id":21,"origin_id":18,"origin_slot":0,"target_id":17,"target_slot":0,"type":"STRING"},{"id":22,"origin_id":19,"origin_slot":0,"target_id":17,"target_slot":1,"type":"STRING"},{"id":27,"origin_id":21,"origin_slot":0,"target_id":20,"target_slot":0,"type":"STRING"},{"id":34,"origin_id":19,"origin_slot":0,"target_id":21,"target_slot":0,"type":"STRING"},{"id":33,"origin_id":16,"origin_slot":0,"target_id":21,"target_slot":1,"type":"STRING"},{"id":32,"origin_id":24,"origin_slot":0,"target_id":21,"target_slot":2,"type":"BOOLEAN"},{"id":28,"origin_id":10,"origin_slot":0,"target_id":22,"target_slot":0,"type":"MODEL"},{"id":29,"origin_id":15,"origin_slot":0,"target_id":22,"target_slot":1,"type":"MODEL"},{"id":31,"origin_id":23,"origin_slot":0,"target_id":22,"target_slot":2,"type":"BOOLEAN"},{"id":41,"origin_id":20,"origin_slot":0,"target_id":27,"target_slot":0,"type":"STRING"},{"id":37,"origin_id":20,"origin_slot":0,"target_id":28,"target_slot":0,"type":"STRING"},{"id":38,"origin_id":27,"origin_slot":0,"target_id":28,"target_slot":1,"type":"STRING"},{"id":42,"origin_id":23,"origin_slot":0,"target_id":28,"target_slot":2,"type":"BOOLEAN"},{"id":43,"origin_id":8,"origin_slot":0,"target_id":-20,"target_slot":0,"type":"IMAGE"},{"id":45,"origin_id":-10,"origin_slot":0,"target_id":19,"target_slot":0,"type":"STRING"},{"id":46,"origin_id":-10,"origin_slot":1,"target_id":24,"target_slot":0,"type":"BOOLEAN"},{"id":49,"origin_id":-10,"origin_slot":2,"target_id":16,"target_slot":5,"type":"INT"},{"id":50,"origin_id":-10,"origin_slot":3,"target_id":5,"target_slot":0,"type":"INT"},{"id":51,"origin_id":-10,"origin_slot":4,"target_id":5,"target_slot":1,"type":"INT"},{"id":56,"origin_id":-10,"origin_slot":5,"target_id":3,"target_slot":4,"type":"INT"},{"id":57,"origin_id":-10,"origin_slot":6,"target_id":23,"target_slot":0,"type":"BOOLEAN"},{"id":58,"origin_id":-10,"origin_slot":7,"target_id":15,"target_slot":1,"type":"COMBO"},{"id":59,"origin_id":-10,"origin_slot":8,"target_id":15,"target_slot":2,"type":"FLOAT"},{"id":60,"origin_id":-10,"origin_slot":9,"target_id":27,"target_slot":1,"type":"STRING"},{"id":61,"origin_id":-10,"origin_slot":10,"target_id":10,"target_slot":0,"type":"COMBO"},{"id":62,"origin_id":-10,"origin_slot":11,"target_id":11,"target_slot":0,"type":"COMBO"},{"id":63,"origin_id":-10,"origin_slot":12,"target_id":12,"target_slot":0,"type":"COMBO"},{"id":72,"origin_id":28,"origin_slot":0,"target_id":6,"target_slot":1,"type":"STRING"},{"id":75,"origin_id":-10,"origin_slot":13,"target_id":16,"target_slot":7,"type":"FLOAT"},{"id":76,"origin_id":-10,"origin_slot":14,"target_id":3,"target_slot":5,"type":"INT"},{"id":77,"origin_id":-10,"origin_slot":15,"target_id":3,"target_slot":6,"type":"FLOAT"},{"id":78,"origin_id":-10,"origin_slot":16,"target_id":18,"target_slot":0,"type":"STRING"}],"extra":{}}]},"config":{},"extra":{"frontendVersion":"1.47.12","VHS_latentpreview":false,"VHS_latentpreviewrate":0,"VHS_MetadataImage":true,"VHS_KeepIntermediate":true,"ds":{"scale":2.2279485331115687,"offset":[200.70367715709406,402.002466573679]}},"version":0.4}