How to use vidfom/Ltx-3 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf vidfom/Ltx-3:UD-Q4_K_XL
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf vidfom/Ltx-3:UD-Q4_K_XL
# 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 vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
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 vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
docker model run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
How to use vidfom/Ltx-3 with Ollama:
ollama run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
How to use vidfom/Ltx-3 with Docker Model Runner:
How to use vidfom/Ltx-3 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vidfom/Ltx-3:UD-Q4_K_XL
lemonade run user.Ltx-3-UD-Q4_K_XL
lemonade list
https://huggingface.co/vidfom/Ltx-3/resolve/main/ComfyUI/comfy_api/latest/_input_impl/__init__.py
hf download hf://vidfom/Ltx-3/ComfyUI/comfy_api/latest/_input_impl/__init__.py
curl -L -o __init__.py https://huggingface.co/vidfom/Ltx-3/resolve/main/ComfyUI/comfy_api/latest/_input_impl/__init__.py
