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 Settings
- 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
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
| .snapshot-manager { | |
| --grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; | |
| z-index: 1099; | |
| width: 80vw; | |
| height: 75vh; | |
| min-height: 30em; | |
| display: flex; | |
| flex-direction: column; | |
| gap: 10px; | |
| color: var(--fg-color); | |
| font-family: arial, sans-serif; | |
| text-underline-offset: 3px; | |
| outline: none; | |
| margin: calc(var(--spacing)*2); | |
| } | |
| .snapshot-manager button { | |
| width: auto; | |
| position: relative; | |
| overflow: hidden; | |
| font-size: 16px; | |
| color: var(--input-text); | |
| background-color: var(--comfy-input-bg); | |
| border-color: var(--border-color); | |
| margin: 0; | |
| min-width: 100px; | |
| padding: 4px 8px; | |
| } | |
| .snapshot-manager .snapshot-restore-btn { | |
| background-color: #00158f ; | |
| border-color: #2025b9 ; | |
| color: white ; | |
| } | |
| .snapshot-manager .snapshot-remove-btn { | |
| background-color: #970000 ; | |
| border-color: #be2127 ; | |
| color: white ; | |
| } | |
| .snapshot-manager button:hover { | |
| filter: brightness(125%); | |
| } | |
| .snapshot-manager .data-btns { | |
| display: flex; | |
| flex-direction: column; | |
| gap: calc(var(--spacing)*2); | |
| padding: calc(var(--spacing)*2); | |
| align-items: center; | |
| justify-content: center; | |
| height: 100%; | |
| } | |
| .snapshot-footer { | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 10px; | |
| align-items: center; | |
| } | |
| .snapshot-manager .cn-flex-auto { | |
| flex: auto; | |
| } |