Instructions to use dumpy50222/ComfyUI_LTX_Wan_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use dumpy50222/ComfyUI_LTX_Wan_Models 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 dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
# Run inference directly in the terminal:
llama cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
# Run inference directly in the terminal:
llama cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

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 dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

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 dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

Use Docker

docker model run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

LM Studio
Jan
Ollama
How to use dumpy50222/ComfyUI_LTX_Wan_Models with Ollama:
```
ollama run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
```

Unsloth Studio

How to use dumpy50222/ComfyUI_LTX_Wan_Models 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 dumpy50222/ComfyUI_LTX_Wan_Models 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 dumpy50222/ComfyUI_LTX_Wan_Models to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dumpy50222/ComfyUI_LTX_Wan_Models to start chatting

How to use dumpy50222/ComfyUI_LTX_Wan_Models with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models: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": "dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use dumpy50222/ComfyUI_LTX_Wan_Models with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

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 "dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0" \
  --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 dumpy50222/ComfyUI_LTX_Wan_Models with Docker Model Runner:
```
docker model run hf.co/dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0
```

Lemonade

How to use dumpy50222/ComfyUI_LTX_Wan_Models with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

Run and chat with the model

lemonade run user.ComfyUI_LTX_Wan_Models-Q8_0

List all available models

lemonade list

Hermes Agent

How to use dumpy50222/ComfyUI_LTX_Wan_Models with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

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 dumpy50222/ComfyUI_LTX_Wan_Models:Q8_0

Run Hermes

hermes

Atomic Chat

ComfyUI_LTX_Wan_Models / unet /placeholder.metadata.json

dumpy50222

Upload folder using huggingface_hub (part 4)

2282565 verified about 1 month ago

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	{
	"file_name": "placeholder",
	"model_name": "placeholder",
	"file_path": "G:/AI/ComfyUI/models/unet/placeholder.gguf",
	"size": 16,
	"modified": 1782017998.717841,
	"sha256": "bf37921f071ddcf3f44012a8f6b357d0e6a0183168fb8c0e25d59a6aff8e0468",
	"base_model": "Unknown",
	"preview_url": "",
	"preview_nsfw_level": 0,
	"notes": "",
	"from_civitai": false,
	"civitai": {},
	"tags": [],
	"modelDescription": "",
	"civitai_deleted": true,
	"favorite": false,
	"exclude": false,
	"db_checked": false,
	"skip_metadata_refresh": false,
	"metadata_source": null,
	"last_checked_at": 1782019143.298857,
	"hash_status": "completed",
	"usage_tips": "{}",
	"sub_type": "checkpoint"
	}