Instructions to use AEmotionStudio/ComfyUI-Model-Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use AEmotionStudio/ComfyUI-Model-Backups with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AEmotionStudio/ComfyUI-Model-Backups", filename="clip/Qwen2.5-VL-7B-Instruct-abliterated.Q8_0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AEmotionStudio/ComfyUI-Model-Backups with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
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 AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Use Docker
docker model run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use AEmotionStudio/ComfyUI-Model-Backups with Ollama:
ollama run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- Unsloth Studio
How to use AEmotionStudio/ComfyUI-Model-Backups with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AEmotionStudio/ComfyUI-Model-Backups to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AEmotionStudio/ComfyUI-Model-Backups to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AEmotionStudio/ComfyUI-Model-Backups to start chatting
- Pi
How to use AEmotionStudio/ComfyUI-Model-Backups with 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:Q4_K_S
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:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use AEmotionStudio/ComfyUI-Model-Backups with Hermes Agent:
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:Q4_K_S
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Run Hermes
hermes
- Docker Model Runner
How to use AEmotionStudio/ComfyUI-Model-Backups with Docker Model Runner:
docker model run hf.co/AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
- Lemonade
How to use AEmotionStudio/ComfyUI-Model-Backups with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AEmotionStudio/ComfyUI-Model-Backups:Q4_K_S
Run and chat with the model
lemonade run user.ComfyUI-Model-Backups-Q4_K_S
List all available models
lemonade list
File size: 1,610 Bytes
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license: other
tags:
- comfyui
- backup
- model-weights
---
# ComfyUI Model Backups
Personal backup of the model collection used with
[ComfyUI](https://github.com/comfyanonymous/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.
|