Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate high-quality images using a local ComfyUI instance. Use when the user wants private, powerful image generation via their own hardware and custom wor...
Generate high-quality images using a local ComfyUI instance. Use when the user wants private, powerful image generation via their own hardware and custom wor...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill allows OpenClaw to generate images by connecting to a ComfyUI instance running on the local network.
Server Address: Set the COMFYUI_SERVER_ADDRESS environment variable to your PC's IP and port (e.g., http://192.168.1.119:8189). API Mode: Ensure "Enable Dev mode" is turned on in your ComfyUI settings to allow API interactions.
Run the internal generation script with a prompt: python3 {skillDir}/scripts/comfy_gen.py "your image prompt" $COMFYUI_SERVER_ADDRESS
Place your API JSON workflows in the workflows/ folder, then specify the path: python3 {skillDir}/scripts/comfy_gen.py "your prompt" $COMFYUI_SERVER_ADDRESS --workflow {skillDir}/workflows/my_workflow.json
SDXL Default: Uses a high-quality SDXL workflow (Juggernaut XL) by default. Auto-Backup: Designed to save images to image-gens/ and can be configured to sync to local document folders. Custom Workflows: Supports external API JSON workflows saved in the workflows/ folder. The script will automatically try to inject your prompt and a random seed into the workflow nodes.
The skill uses a Python helper (scripts/comfy_gen.py) to handle the WebSocket/HTTP handshake with the ComfyUI API, queue the prompt, and download the resulting image.
Server Address: The ComfyUI server address needs to be passed as a direct argument to the comfy_gen.py script after the prompt, not just as an environment variable. Example: python3 ... "Your prompt" http://192.168.1.119:8189 ... Workflow Paths: When specifying a workflow file path that contains spaces or special characters, it must be enclosed in single quotes to be parsed correctly by the script. Example: --workflow '/path/to/your/workflow file name.json' Lora Weight Control: The current comfy_gen.py script does not appear to have a direct parameter for controlling Lora weights (e.g., setting 'l1lly' Lora to 0.90). This might need to be configured within the workflow JSON itself, or require modifications to the script or workflow. Output Filenames: Generated images might be saved with temporary names (e.g., ComfyUI_temp_...png) rather than more descriptive ones by default. ComfyUI Setup: Ensure "Enable Dev mode" is turned on in ComfyUI settings for API interactions.
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