How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aka7774/comfyui-models:
# Run inference directly in the terminal:
llama cli -hf aka7774/comfyui-models:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aka7774/comfyui-models:
# Run inference directly in the terminal:
llama cli -hf aka7774/comfyui-models:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf aka7774/comfyui-models:
# Run inference directly in the terminal:
./llama-cli -hf aka7774/comfyui-models:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf aka7774/comfyui-models:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aka7774/comfyui-models:
Use Docker
docker model run hf.co/aka7774/comfyui-models:
Quick Links

ComfyUI clean public model recovery repository

This repository contains only artifacts classified as public in the pinned recovery manifest. It does not apply one blanket license: each artifact retains its upstream license and usage conditions.

  • Manifest category: public
  • Logical model paths: 296
  • Regular-file bytes: 848774755277
  • Source of truth: recovery/model-manifest.jsonl
  • Symbolic links: recovery/symlink-aliases.json

Restore paths are relative to ComfyUI/models/. Verify SHA-256 before use.

Artifact-specific license notice

diffusion_models/animaCatTower_v10.safetensors is a third-party Anima derivative under the CircleStone Labs Non-Commercial License. Model-weight commercial use is not permitted. See licenses/anima-cat-tower/ for the required license, attribution notice, exact Civitai version, and SHA-256.

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