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
| [project] | |
| name = "ComfyUI" | |
| version = "0.18.1" | |
| readme = "README.md" | |
| license = { file = "LICENSE" } | |
| requires-python = ">=3.10" | |
| [project.urls] | |
| homepage = "https://www.comfy.org/" | |
| repository = "https://github.com/comfyanonymous/ComfyUI" | |
| documentation = "https://docs.comfy.org/" | |
| [tool.ruff] | |
| lint.select = [ | |
| "N805", # invalid-first-argument-name-for-method | |
| "S307", # suspicious-eval-usage | |
| "S102", # exec | |
| "E", | |
| "T", # print-usage | |
| "W", | |
| # The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names. | |
| # See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f | |
| "F", | |
| ] | |
| lint.ignore = ["E501", "E722", "E731", "E712", "E402", "E741"] | |
| exclude = ["*.ipynb", "**/generated/*.pyi"] | |
| [tool.pylint] | |
| master.py-version = "3.10" | |
| master.extension-pkg-allow-list = [ | |
| "pydantic", | |
| ] | |
| reports.output-format = "colorized" | |
| similarities.ignore-imports = "yes" | |
| messages_control.disable = [ | |
| "missing-module-docstring", | |
| "missing-class-docstring", | |
| "missing-function-docstring", | |
| "line-too-long", | |
| "too-few-public-methods", | |
| "too-many-public-methods", | |
| "too-many-instance-attributes", | |
| "too-many-positional-arguments", | |
| "broad-exception-raised", | |
| "too-many-lines", | |
| "invalid-name", | |
| "unused-argument", | |
| "broad-exception-caught", | |
| "consider-using-with", | |
| "fixme", | |
| "too-many-statements", | |
| "too-many-branches", | |
| "too-many-locals", | |
| "too-many-arguments", | |
| "too-many-return-statements", | |
| "too-many-nested-blocks", | |
| "duplicate-code", | |
| "abstract-method", | |
| "superfluous-parens", | |
| "arguments-differ", | |
| "redefined-builtin", | |
| "unnecessary-lambda", | |
| "dangerous-default-value", | |
| "invalid-overridden-method", | |
| # next warnings should be fixed in future | |
| "bad-classmethod-argument", # Class method should have 'cls' as first argument | |
| "wrong-import-order", # Standard imports should be placed before third party imports | |
| "ungrouped-imports", | |
| "unnecessary-pass", | |
| "unnecessary-lambda-assignment", | |
| "no-else-return", | |
| "unused-variable", | |
| ] | |