Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use saik0s/comfy_backup with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="saik0s/comfy_backup",
	filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.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 saik0s/comfy_backup with 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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf saik0s/comfy_backup:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf saik0s/comfy_backup: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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf saik0s/comfy_backup: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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S

Use Docker

docker model run hf.co/saik0s/comfy_backup:Q4_K_S

LM Studio
Jan
Ollama
How to use saik0s/comfy_backup with Ollama:
```
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
```

Unsloth Studio

How to use saik0s/comfy_backup 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 saik0s/comfy_backup 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 saik0s/comfy_backup to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for saik0s/comfy_backup to start chatting

How to use saik0s/comfy_backup with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saik0s/comfy_backup: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": "saik0s/comfy_backup:Q4_K_S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use saik0s/comfy_backup with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saik0s/comfy_backup: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 saik0s/comfy_backup:Q4_K_S

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use saik0s/comfy_backup with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saik0s/comfy_backup:Q4_K_S

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "saik0s/comfy_backup:Q4_K_S" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
```
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
```

Lemonade

How to use saik0s/comfy_backup with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull saik0s/comfy_backup:Q4_K_S

Run and chat with the model

lemonade run user.comfy_backup-Q4_K_S

List all available models

lemonade list

comfy_backup / custom_nodes /ComfyUI-Manager /node_db /legacy /model-list.json

saik0s

Add files using upload-large-folder tool

33c25ce verified 25 days ago

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	{
	"models": [
	{
	"name": "Inswapper-fp16 (face swap) [REMOVED]",
	"type": "insightface",
	"base": "inswapper",
	"save_path": "insightface",
	"description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
	"reference": "https://github.com/facefusion/facefusion-assets",
	"filename": "inswapper_128_fp16.onnx",
	"url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx",
	"size": "277.7MB"
	},
	{
	"name": "Inswapper (face swap) [REMOVED]",
	"type": "insightface",
	"base": "inswapper",
	"save_path": "insightface",
	"description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
	"reference": "https://github.com/facefusion/facefusion-assets",
	"filename": "inswapper_128.onnx",
	"url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx",
	"size": "555.3MB"
	},
	{
	"name": "pfg-novel-n10.pt",
	"type": "PFG",
	"base": "SD1.5",
	"save_path": "custom_nodes/pfg-ComfyUI/models",
	"description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
	"reference": "https://huggingface.co/furusu/PFG",
	"filename": "pfg-novel-n10.pt",
	"url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-novel-n10.pt",
	"size": "23.6MB"
	},
	{
	"name": "pfg-wd14-n10.pt",
	"type": "PFG",
	"base": "SD1.5",
	"save_path": "custom_nodes/pfg-ComfyUI/models",
	"description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
	"reference": "https://huggingface.co/furusu/PFG",
	"filename": "pfg-wd14-n10.pt",
	"url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd14-n10.pt",
	"size": "31.5MB"
	},
	{
	"name": "pfg-wd15beta2-n10.pt",
	"type": "PFG",
	"base": "SD1.5",
	"save_path": "custom_nodes/pfg-ComfyUI/models",
	"description": "Pressing 'install' directly downloads the model from the pfg-ComfyUI/models extension node. (Note: Requires ComfyUI-Manager V0.24 or above)",
	"reference": "https://huggingface.co/furusu/PFG",
	"filename": "pfg-wd15beta2-n10.pt",
	"url": "https://huggingface.co/furusu/PFG/resolve/main/pfg-wd15beta2-n10.pt",
	"size": "31.5MB"
	},
	{
	"name": "shape_predictor_68_face_landmarks.dat [Face Analysis]",
	"type": "Shape Predictor",
	"base": "DLIB",
	"save_path": "custom_nodes/comfyui_faceanalysis/dlib",
	"description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
	"reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
	"filename": "shape_predictor_68_face_landmarks.dat",
	"url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/shape_predictor_68_face_landmarks.dat",
	"size": "99.7MB"
	},
	{
	"name": "dlib_face_recognition_resnet_model_v1.dat [Face Analysis]",
	"type": "Face Recognition",
	"base": "DLIB",
	"save_path": "custom_nodes/comfyui_faceanalysis/dlib",
	"description": "To use the Face Analysis for ComfyUI custom node, installation of this model is needed.",
	"reference": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/tree/main",
	"filename": "dlib_face_recognition_resnet_model_v1.dat",
	"url": "https://huggingface.co/matt3ounstable/dlib_predictor_recognition/resolve/main/dlib_face_recognition_resnet_model_v1.dat",
	"size": "22.5MB"
	},
	{
	"name": "ID-Animator/animator.ckpt",
	"type": "ID-Animator",
	"base": "SD1.5",
	"save_path": "custom_nodes/comfyui_id_animator/models",
	"description": "ID-Animator checkpoint",
	"reference": "https://huggingface.co/spaces/ID-Animator/ID-Animator",
	"filename": "animator.ckpt",
	"url": "https://huggingface.co/spaces/ID-Animator/ID-Animator/resolve/main/animator.ckpt",
	"size": "247.3MB"
	},
	{
	"name": "ID-Animator/mm_sd_v15_v2.ckpt",
	"type": "ID-Animator",
	"base": "SD1.5",
	"save_path": "custom_nodes/comfyui_id_animator/models/animatediff_models",
	"description": "AnimateDiff checkpoint for ID-Animator",
	"reference": "https://huggingface.co/spaces/ID-Animator/ID-Animator",
	"filename": "mm_sd_v15_v2.ckpt",
	"url": "https://huggingface.co/spaces/ID-Animator/ID-Animator/resolve/main/mm_sd_v15_v2.ckpt",
	"size": "1.82GB"
	},
	{
	"name": "ID-Animator/image_encoder",
	"type": "ID-Animator",
	"base": "SD1.5",
	"save_path": "custom_nodes/comfyui_id_animator/models/image_encoder",
	"description": "CLIP Image encoder for ID-Animator",
	"reference": "https://huggingface.co/spaces/ID-Animator/ID-Animator",
	"filename": "model.safetensors",
	"url": "https://huggingface.co/spaces/ID-Animator/ID-Animator/resolve/main/image_encoder/model.safetensors",
	"size": "2.53GB"
	},
	{
	"name": "Doubiiu/ToonCrafter model checkpoint",
	"type": "checkpoint",
	"base": "ToonCrafter",
	"save_path": "custom_nodes/comfyui-tooncrafter/ToonCrafter/checkpoints/tooncrafter_512_interp_v1",
	"description": "ToonCrafter checkpoint model for ComfyUI-ToonCrafter",
	"reference": "https://huggingface.co/Doubiiu/ToonCrafter/tree/main",
	"filename": "model.ckpt",
	"url": "https://huggingface.co/Doubiiu/ToonCrafter/resolve/main/model.ckpt",
	"size": "10.5GB"
	},

	{
	"name": "BAAI/SegGPT",
	"type": "SegGPT",
	"base": "SegGPT",
	"save_path": "custom_nodes/comfyui-seggpt",
	"description": "SegGPT",
	"reference": "https://huggingface.co/BAAI/SegGPT",
	"filename": "seggpt_vit_large.pth",
	"url": "https://huggingface.co/BAAI/SegGPT/resolve/main/seggpt_vit_large.pth",
	"size": "1.48GB"
	},
	{
	"name": "kohya-ss/ControlNet-LLLite: SDXL Canny Anime",
	"type": "controlnet",
	"base": "SDXL",
	"save_path": "custom_nodes/ControlNet-LLLite-ComfyUI/models",
	"description": "An extremely compactly designed controlnet model (a.k.a. ControlNet-LLLite). Note: The model structure is highly experimental and may be subject to change in the future.",
	"reference": "https://huggingface.co/kohya-ss/controlnet-lllite",
	"filename": "controllllite_v01032064e_sdxl_canny_anime.safetensors",
	"url": "https://huggingface.co/kohya-ss/controlnet-lllite/resolve/main/controllllite_v01032064e_sdxl_canny_anime.safetensors",
	"size": "46.2MB"
	}
	]
	}