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
- llama.cpp
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
- Pi
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
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| "description": "<p>8 steps</p><p>Cách sử dụng:</p><ul><li><p>•Sampling method: Euler</p></li><li><p>•Schedule type: Simple</p></li><li><p>•Sampling steps: 30</p></li><li><p>Weight: 0.8 - 1.2. Best: 0.8</p></li></ul><p>Instructions for use:</p><ul><li><p>•Sampling method: Euler a</p></li><li><p>•Schedule type: Simple</p></li><li><p>•Sampling steps: 30</p></li><li><p>Weight: 0.8 - 1.2. Best: 0.8</p></li></ul><p>In the prompt, you should use the word: <strong><span style=\"color:rgb(216, 68, 147)\">Woman </span></strong>using the word Girl will create many body anatomy errors.</p><p><s>0-0-0-0-0-0-0-0-0-0-0-0</s></p><p>Actually, you will not need the activation keyword for it to work, but you can add it to make <strong>Flux</strong> understand faster and give better results. ⚡</p><p><strong>Note:</strong> It works well with <strong>FLUX.1-Turbo-Alpha</strong>, LORA human face. 👤✨</p><p><img src=\"https://models-online-persist.shakker.cloud/img/c7d573e4c3d24f97bc7b6c9b5c950091/91665a2d7674a2db4d6181122f9ffde291daf229d8d776e49d4584895d189263.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp\" alt />Useful and FREE resources:</p><p>❤️<strong>Free server</strong> to make art with Flux: <a target=\"_blank\" rel=\"ugc\" href=\"https://www.shakker.ai/userpage/c7d573e4c3d24f97bc7b6c9b5c950091/publish?sourceId=002720\">Shakker</a></p><p>✨ <strong>More FLUX LORA?</strong> <strong>List and detailed </strong>description of each LORA I implement here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/lora\">https://maitruclam.com/lora</a></p><p>🆕 <strong>First time using FLUX?</strong> Explanation and tutorial with <strong>A1111 forge offline</strong> and <strong>Comfy UI</strong> here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/flux-ai-la-gi/\">https://maitruclam.com/flux-ai-la-gi/</a></p><p>🛠️ <strong>How to train your LORA with Flux?</strong> My detailed instructions are here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/training-flux/\">https://maitruclam.com/training-flux/</a></p><p>❤️ <strong>Donate me</strong> (I would be really surprised if you did that! 😄): <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/donate\">https://maitruclam.com/donate</a></p><p>Find me / Contact for work on:</p><p>📱 <strong>Facebook:</strong> @maitruclam4real</p><p>💬 <strong>Discord:</strong> @maitruclam</p><p>🌐 <strong>Web:</strong> <a target=\"_blank\" rel=\"ugc\" href=\"http://maitruclam.com\">maitruclam.com</a></p>", | |
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| "modelDescription": "<p>8 steps</p><p>Cách sử dụng:</p><ul><li><p>•Sampling method: Euler</p></li><li><p>•Schedule type: Simple</p></li><li><p>•Sampling steps: 30</p></li><li><p>Weight: 0.8 - 1.2. Best: 0.8</p></li></ul><p>Instructions for use:</p><ul><li><p>•Sampling method: Euler a</p></li><li><p>•Schedule type: Simple</p></li><li><p>•Sampling steps: 30</p></li><li><p>Weight: 0.8 - 1.2. Best: 0.8</p></li></ul><p>In the prompt, you should use the word: <strong><span style=\"color:rgb(216, 68, 147)\">Woman </span></strong>using the word Girl will create many body anatomy errors.</p><p><s>0-0-0-0-0-0-0-0-0-0-0-0</s></p><p>Actually, you will not need the activation keyword for it to work, but you can add it to make <strong>Flux</strong> understand faster and give better results. ⚡</p><p><strong>Note:</strong> It works well with <strong>FLUX.1-Turbo-Alpha</strong>, LORA human face. 👤✨</p><p><img src=\"https://models-online-persist.shakker.cloud/img/c7d573e4c3d24f97bc7b6c9b5c950091/91665a2d7674a2db4d6181122f9ffde291daf229d8d776e49d4584895d189263.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp\" alt />Useful and FREE resources:</p><p>❤️<strong>Free server</strong> to make art with Flux: <a target=\"_blank\" rel=\"ugc\" href=\"https://www.shakker.ai/userpage/c7d573e4c3d24f97bc7b6c9b5c950091/publish?sourceId=002720\">Shakker</a></p><p>✨ <strong>More FLUX LORA?</strong> <strong>List and detailed </strong>description of each LORA I implement here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/lora\">https://maitruclam.com/lora</a></p><p>🆕 <strong>First time using FLUX?</strong> Explanation and tutorial with <strong>A1111 forge offline</strong> and <strong>Comfy UI</strong> here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/flux-ai-la-gi/\">https://maitruclam.com/flux-ai-la-gi/</a></p><p>🛠️ <strong>How to train your LORA with Flux?</strong> My detailed instructions are here: <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/training-flux/\">https://maitruclam.com/training-flux/</a></p><p>❤️ <strong>Donate me</strong> (I would be really surprised if you did that! 😄): <a target=\"_blank\" rel=\"ugc\" href=\"https://maitruclam.com/donate\">https://maitruclam.com/donate</a></p><p>Find me / Contact for work on:</p><p>📱 <strong>Facebook:</strong> @maitruclam4real</p><p>💬 <strong>Discord:</strong> @maitruclam</p><p>🌐 <strong>Web:</strong> <a target=\"_blank\" rel=\"ugc\" href=\"http://maitruclam.com\">maitruclam.com</a></p>", | |
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