{ "id": "08988737-a544-4ab1-99fb-22d67b7c36e3", "revision": 0, "last_node_id": 51, "last_link_id": 85, "nodes": [ { "id": 29, "type": "SaveImage", "pos": [ 480, -110 ], "size": [ 879.953125, 1019.953125 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 44 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "properties": { "Node name for S&R": "SaveImage", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ "Krea2_turbo" ] }, { "id": 30, "type": "b0e5ca93-2731-42b9-8e0a-d28ea851ff81", "pos": [ -140, -110 ], "size": [ 559.953125, 1009.953125 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "label": "prompt", "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 }, { "label": "LLM_thinking_mode", "name": "thinking", "shape": 7, "type": "BOOLEAN", "widget": { "name": "thinking" }, "link": null }, { "label": "width", "name": "width_1", "type": "INT", "widget": { "name": "width_1" }, "link": 84 }, { "label": "height", "name": "height_1", "type": "INT", "widget": { "name": "height_1" }, "link": 85 }, { "label": "seed", "name": "seed_1", "type": "INT", "widget": { "name": "seed_1" }, "link": null }, { "label": "enable_lora", "name": "value_3", "type": "BOOLEAN", "widget": { "name": "value_3" }, "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": "lora_trigger_word", "name": "string_b_1", "type": "STRING", "widget": { "name": "string_b_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": [ "Ultra low angle action shot, male soccer player jumping mid-air high kick, clear vivid blue sky background, forced perspective blurry foreground cleat (white & electric yellow), sharp focused upper body, maroon jersey + white shorts, fully outstretched leg striking a standard soccer ball, harsh direct sunlight, heavy dark shadows, stadium poles & treetops at frame bottom, high contrast sports photography, visible coarse film grain, dynamic movement", true, 512, false, 1024, 1024, 45862206397178, false, "krea2_darkbrush.safetensors", 0.8, "muted minimalist sketch style", "krea2_turbo_int8_convrot.safetensors", "qwen3vl_4b_fp8_scaled.safetensors", "qwen_image_vae.safetensors" ] }, { "id": 47, "type": "MarkdownNote", "pos": [ -1200, 970 ], "size": [ 689.953125, 509.953125 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "LoRA Trigger Words and Settings", "properties": {}, "widgets_values": [ "## Model Links\n\n- [Hugging Face:Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n- [ModelScope:Comfy-Org/Krea-2](https://modelscope.cn/models/Comfy-Org/Krea-2)\n\nDownload 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": [ -1940, -90 ], "size": [ 699.953125, 989.953125 ], "flags": {}, "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\n\n- [Hugging Face:Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n- [ModelScope:Comfy-Org/Krea-2](https://modelscope.cn/models/Comfy-Org/Krea-2)\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) (12.57 GB)\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) (4.88 GB)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors) (242 MB)\n\n**loras**\n\n- [krea2_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors) (447.6 MB)\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_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": [ -1200, -90 ], "size": [ 699.953125, 989.953125 ], "flags": {}, "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\n- [Hugging Face:Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n- [ModelScope:Comfy-Org/Krea-2](https://modelscope.cn/models/Comfy-Org/Krea-2)\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": [ -470, 270 ], "size": [ 269.953125, 189.953125 ], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [ { "name": "width", "type": "INT", "links": [ 84 ] }, { "name": "height", "type": "INT", "links": [ 85 ] } ], "properties": { "Node name for S&R": "ResolutionSelector", "cnr_id": "comfy-core", "ver": "0.25.0" }, "widgets_values": [ "1:1 (Square)", 1, 8 ] } ], "links": [ [ 44, 30, 0, 29, 0, "IMAGE" ], [ 84, 49, 0, 30, 4, "INT" ], [ 85, 49, 1, 30, 5, "INT" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "b0e5ca93-2731-42b9-8e0a-d28ea851ff81", "version": 1, "state": { "lastGroupId": 10, "lastNodeId": 51, "lastLinkId": 85, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "Text to Image (Krea-2 Turbo)", "inputNode": { "id": -10, "bounding": [ -1720, 410, 160.76953125, 328 ] }, "outputNode": { "id": -20, "bounding": [ 1560, 496, 128, 68 ] }, "inputs": [ { "id": "b0f5c754-5322-440c-8c1c-ba732e910d33", "name": "value", "type": "STRING", "linkIds": [ 45 ], "label": "prompt", "pos": [ -1583.23046875, 434 ] }, { "id": "47b0e74d-ef80-4423-a7a6-9bd1673092bb", "name": "value_1", "type": "BOOLEAN", "linkIds": [ 46 ], "label": "prompt_enhance", "pos": [ -1583.23046875, 454 ] }, { "id": "5fc735ae-a50b-4363-bff9-850030ad5dd5", "name": "max_length", "type": "INT", "linkIds": [ 49 ], "label": "LLM_max_token", "pos": [ -1583.23046875, 474 ] }, { "id": "5073bc0e-8fb9-4c26-9f78-934885dc7f80", "name": "thinking", "type": "BOOLEAN", "linkIds": [ 73 ], "label": "LLM_thinking_mode", "pos": [ -1583.23046875, 494 ] }, { "id": "bb85a630-46eb-4695-ac24-0958bff31153", "name": "width_1", "type": "INT", "linkIds": [ 74 ], "label": "width", "pos": [ -1583.23046875, 514 ] }, { "id": "697e61cc-1641-45af-9947-09608b8f6a5b", "name": "height_1", "type": "INT", "linkIds": [ 75 ], "label": "height", "pos": [ -1583.23046875, 534 ] }, { "id": "9bdd880b-307f-4f67-a5e5-cb8a68e3c13f", "name": "seed_1", "type": "INT", "linkIds": [ 76 ], "label": "seed", "pos": [ -1583.23046875, 554 ] }, { "id": "a4d672fc-9f7a-44a1-a103-53c9ebc3eb98", "name": "value_3", "type": "BOOLEAN", "linkIds": [ 77 ], "label": "enable_lora", "pos": [ -1583.23046875, 574 ] }, { "id": "5e134b0f-0c57-4bc2-b829-896d1f4912e8", "name": "lora_name_1", "type": "COMBO", "linkIds": [ 78 ], "label": "lora_name", "pos": [ -1583.23046875, 594 ] }, { "id": "1bf8b634-0301-47dc-b5b8-c24a6dfe68e6", "name": "strength_model_1", "type": "FLOAT", "linkIds": [ 79 ], "label": "lora_strength", "pos": [ -1583.23046875, 614 ] }, { "id": "adf46919-9d02-4ce1-a892-22a959c1761e", "name": "string_b_1", "type": "STRING", "linkIds": [ 80 ], "label": "lora_trigger_word", "pos": [ -1583.23046875, 634 ] }, { "id": "535330ae-584c-469d-8904-5e5181262e10", "name": "unet_name_1", "type": "COMBO", "linkIds": [ 81 ], "label": "unet_name", "pos": [ -1583.23046875, 654 ] }, { "id": "3a07f910-ae12-4d67-8611-8ffb7a8d9224", "name": "clip_name_1", "type": "COMBO", "linkIds": [ 82 ], "label": "clip_name", "pos": [ -1583.23046875, 674 ] }, { "id": "bceb095e-57f6-4221-9195-9d2f768bb7c9", "name": "vae_name_1", "type": "COMBO", "linkIds": [ 83 ], "label": "vae_name", "pos": [ -1583.23046875, 694 ] } ], "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": [ 100, -250 ], "size": [ 479.96875, 419.96875 ], "flags": {}, "order": 3, "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." ], "color": "#232", "bgcolor": "#353" }, { "id": 5, "type": "EmptyLatentImage", "pos": [ 170, 350 ], "size": [ 319.96875, 169.96875 ], "flags": {}, "order": 2, "mode": 0, "inputs": [ { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 74 }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 75 } ], "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": [ 1024, 1024, 1 ] }, { "id": 3, "type": "KSampler", "pos": [ 640, -100 ], "size": [ 319.96875, 589.96875 ], "flags": {}, "order": 1, "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": 76 } ], "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": [ 45862206397178, "randomize", 8, 1, "euler", "simple", 1 ] }, { "id": 8, "type": "VAEDecode", "pos": [ 1010, -270 ], "size": [ 229.96875, 99.96875 ], "flags": { "collapsed": false }, "order": 4, "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" }, "widgets_values": [] }, { "id": 10, "type": "UNETLoader", "pos": [ -410, -240 ], "size": [ 449.96875, 139.96875 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "localized_name": "unet_name", "name": "unet_name", "type": "COMBO", "widget": { "name": "unet_name" }, "link": 81 } ], "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_int8_convrot.safetensors", "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_int8_convrot.safetensors", "directory": "diffusion_models" } ] }, "widgets_values": [ "krea2_turbo_int8_convrot.safetensors", "default" ] }, { "id": 11, "type": "CLIPLoader", "pos": [ -410, 150 ], "size": [ 449.96875, 169.96875 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "localized_name": "clip_name", "name": "clip_name", "type": "COMBO", "widget": { "name": "clip_name" }, "link": 82 } ], "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" ] }, { "id": 12, "type": "VAELoader", "pos": [ -410, 390 ], "size": [ 449.96875, 119.96875 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "localized_name": "vae_name", "name": "vae_name", "type": "COMBO", "widget": { "name": "vae_name" }, "link": 83 } ], "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" ] }, { "id": 13, "type": "ConditioningZeroOut", "pos": [ 350, 220 ], "size": [ 224.984375, 0 ], "flags": { "collapsed": true }, "order": 8, "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" }, "widgets_values": [] }, { "id": 15, "type": "LoraLoaderModelOnly", "pos": [ -410, -50 ], "size": [ 449.96875, 169.96875 ], "flags": {}, "order": 9, "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": 78 }, { "localized_name": "strength_model", "name": "strength_model", "type": "FLOAT", "widget": { "name": "strength_model" }, "link": 79 } ], "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_darkbrush.safetensors", 0.8 ] }, { "id": 16, "type": "TextGenerate", "pos": [ 60, 650 ], "size": [ 399.96875, 465.875 ], "flags": {}, "order": 10, "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": "thinking", "name": "thinking", "shape": 7, "type": "BOOLEAN", "widget": { "name": "thinking" }, "link": 73 } ], "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", 0.7, 64, 0.95, 0.05, 1.05, 0, 0, false, true ] }, { "id": 17, "type": "StringConcatenate", "pos": [ -210, 1310 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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 request.\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. **Never Request Rendered Text:** Do not mention, describe, or hint at letters, words, numbers, captions, subtitles, signage, labels, logos, watermarks, typography, or any other graphic text anywhere in the output prompt. Only if the user explicitly writes down words to be rendered, keep exactly those words in quotes and nothing else. In every other case, always end the output prompt with: \"Absolutely no text, no typography, no letters, no words, no numbers, no logos, no watermark, no captions, pure imagery only.\"\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports it.\n6. **Plain Prose Only:** Write one cohesive paragraph after the thinking block. No bullets, no JSON, no markdown, no asterisks, no headings, no field labels, no meta commentary.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding, and preserve the user's 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.\n10. **Never Echo Instructions:** Output only the final image prompt. 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