Instructions to use vidfom/Ltx-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use vidfom/Ltx-3 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="vidfom/Ltx-3", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-qat-UD-Q4_K_XL.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use vidfom/Ltx-3 with llama.cpp:
Install from brew
brew install llama.cpp # 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
Install from WinGet (Windows)
winget install llama.cpp # 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
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 vidfom/Ltx-3:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf vidfom/Ltx-3:UD-Q4_K_XL
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 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
Use Docker
docker model run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use vidfom/Ltx-3 with Ollama:
ollama run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- Unsloth Studio new
How to use vidfom/Ltx-3 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 vidfom/Ltx-3 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 vidfom/Ltx-3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vidfom/Ltx-3 to start chatting
- Docker Model Runner
How to use vidfom/Ltx-3 with Docker Model Runner:
docker model run hf.co/vidfom/Ltx-3:UD-Q4_K_XL
- Lemonade
How to use vidfom/Ltx-3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vidfom/Ltx-3:UD-Q4_K_XL
Run and chat with the model
lemonade run user.Ltx-3-UD-Q4_K_XL
List all available models
lemonade list
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| list-style: none; | |
| padding: 0; | |
| margin: 0; | |
| position: fixed; | |
| z-index: 999999; | |
| pointer-events: none; | |
| opacity: 0; | |
| transition: opacity 0.08s ease-in-out; | |
| color: #dde; | |
| background-color: #111; | |
| font-size: 12px; | |
| box-shadow: 0 0 10px black ; | |
| } | |
| .rgthree-menu > li { | |
| position: relative; | |
| padding: 4px 6px; | |
| z-index: 9999; | |
| white-space: nowrap; | |
| } | |
| .rgthree-menu > li[role=button] { | |
| background-color: var(--comfy-menu-bg) ; | |
| color: var(--input-text); | |
| cursor: pointer; | |
| } | |
| .rgthree-menu > li[role=button]:hover { | |
| filter: brightness(155%); | |
| } | |
| .rgthree-menu[state^=measuring] { | |
| display: block; | |
| opacity: 0; | |
| } | |
| .rgthree-menu[state=open] { | |
| display: block; | |
| opacity: 1; | |
| pointer-events: all; | |
| } | |
| .rgthree-top-menu { | |
| box-sizing: border-box; | |
| white-space: nowrap; | |
| background: var(--content-bg); | |
| color: var(--content-fg); | |
| display: flex; | |
| flex-direction: column; | |
| list-style: none; | |
| padding: 0; | |
| margin: 0; | |
| } | |
| .rgthree-top-menu * { | |
| box-sizing: inherit; | |
| } | |
| .rgthree-top-menu > li:not(#fakeid) { | |
| list-style: none; | |
| padding: 0; | |
| margin: 0; | |
| position: relative; | |
| z-index: 2; | |
| } | |
| .rgthree-top-menu > li:not(#fakeid) > button { | |
| cursor: pointer; | |
| padding: 8px 12px 8px 8px; | |
| width: 100%; | |
| text-align: start; | |
| display: flex; | |
| flex-direction: row; | |
| align-items: center; | |
| justify-content: start; | |
| } | |
| .rgthree-top-menu > li:not(#fakeid) > button:hover { | |
| background-color: var(--comfy-input-bg); | |
| } | |
| .rgthree-top-menu > li:not(#fakeid) > button svg { | |
| height: 16px; | |
| width: auto; | |
| margin-inline-end: 0.6em; | |
| } | |
| .rgthree-top-menu > li:not(#fakeid) > button svg.github-star { | |
| fill: rgb(227, 179, 65); | |
| } | |
| .rgthree-top-menu > li:not(#fakeid).rgthree-message { | |
| min-height: 32px; | |
| } | |
| .rgthree-top-menu > li:not(#fakeid).rgthree-message > span { | |
| padding: 8px 12px; | |
| display: block; | |
| width: 100%; | |
| text-align: center; | |
| font-style: italic; | |
| font-size: 12px; | |
| } | |
| .rgthree-top-menu.-modal::after { | |
| content: ""; | |
| display: block; | |
| position: fixed; | |
| z-index: 1; | |
| inset: 0; | |
| background: rgba(0, 0, 0, 0.0666666667); | |
| } | |
| body.rgthree-modal-menu-open > *:not(.rgthree-menu):not(.rgthree-top-messages-container) { | |
| filter: blur(2px); | |
| } | |