How to use from
Pi
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AEmotionStudio/ComfyUI-Model-Backups:Q8_0
Configure the model in Pi
# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AEmotionStudio/ComfyUI-Model-Backups:Q8_0"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
Quick Links

ComfyUI Model Backups

Personal backup of the model collection used with ComfyUI. Files are organized into a labeled subfolder per model type, mirroring the standard ComfyUI models/ directory layout.

Folder layout

Each subfolder corresponds to a ComfyUI model type:

Subfolder Model type
text_encoders/ Text encoder weights (T5, UMT5, Qwen-VL, …)
clip/ CLIP models
clip_vision/ CLIP vision models
checkpoints/ Full checkpoints
diffusion_models/ Diffusion model weights
unet/ UNet weights
loras/ LoRA adapters
controlnet/ ControlNet models
vae/ VAE models
LLM/ Language models
Additional types added folder by folder

Folders are uploaded incrementally, one type at a time. Not all types may be present yet.

Notes

  • These are model weight files (.safetensors, .gguf, etc.) kept for backup/restore convenience. Original licenses and terms belong to the respective model authors.
  • To restore a type, download its subfolder back into your ComfyUI models/<type>/ directory.
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Model size
8B params
Architecture
qwen2vl
Hardware compatibility
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