ComfyUI Extension: ComfyUI.RaccoonAI
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Custom nodes for ComfyUI that integrate with the RaccoonAI local AI management system.
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Custom Nodes (0)
README
ComfyUI.RaccoonAI
Custom nodes for ComfyUI that integrate with the RaccoonAI local AI management system.
Features
🦝 Salvar Inspiration
Saves the current generation as an Inspiration in RaccoonAI with one click.
Automatically extracts from the workflow:
- Generated image (preview)
- Positive and negative prompts
- Checkpoint used
- LoRAs (supports Power Lora Loader and standard LoraLoader)
- Sampler parameters: steps, CFG, sampler, scheduler, denoise, seed
🎭 Salvar Personagem
Saves the current generation as a Prompt Card (character) in RaccoonAI with one click.
Extracts the positive prompt and optionally attaches the character face image (via face crop node in the workflow).
Installation
Option A — Git clone
cd ComfyUI/custom_nodes
git clone https://github.com/sayuno/ComfyUI.RaccoonAI.git raccoon_utils
Option B — Manual
Download and extract into ComfyUI/custom_nodes/raccoon_utils/.
Restart ComfyUI. Two buttons will appear in the top menu bar next to the Manager button.
Requirements
- RaccoonAI running on
http://localhost:6969 - ComfyUI with a workflow that uses
CLIPTextEncode,KSampler, and a checkpoint loader
Workflow Configuration
By default the nodes auto-detect prompts, checkpoint and sampler from the graph. For multi-KSampler or complex workflows, use the RaccoonConfig node or add a Note titled RACCOON_CONFIG with a JSON body:
{
"checkpointNode": null,
"positiveNode": null,
"negativeNode": null,
"ksamplerNode": null
}
You can also create named configs in js/raccoon_config.json and reference them with:
{ "use": "MY WORKFLOW NAME" }
Project Structure
raccoon_utils/
js/
raccoon_utils.js # Shared utilities and API functions
save_inspiration.js # 🦝 Save Inspiration button
save_character.js # 🎭 Save Character button
raccoon_config.json # Named workflow configs
__init__.py
API
The raccoon_utils.js module exports reusable functions for other nodes:
| Function | Description |
|---|---|
| loadWorkflowConfig() | Reads RACCOON_CONFIG from graph or file |
| findCheckpoint(nodes, config) | Extracts checkpoint filename |
| extractPrompt(nodes, config, field) | Extracts positive or negative prompt |
| extractSamplerData(nodes, config) | Extracts KSampler parameters |
| findLoras(nodes) | Lists all active LoRAs with weights |
| getLastGeneratedImage() | Returns last output image as Blob |
| getCharacterFaceImage(config) | Returns character face crop as Blob |
| saveInspiration(title, data, imageBlob) | POST to /api/inspirations |
| savePromptCard(name, tags, categoryId, imageBlob) | POST to /api/prompt-cards |
| blobToBase64(blob) | Converts Blob to base64 data URL |
| showToast(message, type) | Shows overlay toast notification |
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.