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
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| import os | |
| from git_utils import get_commit_hash | |
| class InstalledNodePackage: | |
| """Information about an installed node package.""" | |
| id: str | |
| fullpath: str | |
| disabled: bool | |
| version: str | |
| def is_unknown(self) -> bool: | |
| return self.version == "unknown" | |
| def is_nightly(self) -> bool: | |
| return self.version == "nightly" | |
| def is_from_cnr(self) -> bool: | |
| return not self.is_unknown and not self.is_nightly | |
| def is_enabled(self) -> bool: | |
| return not self.disabled | |
| def is_disabled(self) -> bool: | |
| return self.disabled | |
| def get_commit_hash(self) -> str: | |
| return get_commit_hash(self.fullpath) | |
| def isValid(self) -> bool: | |
| if self.is_from_cnr: | |
| return os.path.exists(os.path.join(self.fullpath, '.tracking')) | |
| return True | |
| def from_fullpath(fullpath: str, resolve_from_path) -> InstalledNodePackage: | |
| parent_folder_name = os.path.basename(os.path.dirname(fullpath)) | |
| module_name = os.path.basename(fullpath) | |
| if module_name.endswith(".disabled"): | |
| node_id = module_name[:-9] | |
| disabled = True | |
| elif parent_folder_name == ".disabled": | |
| # Nodes under custom_nodes/.disabled/* are disabled | |
| node_id = module_name | |
| disabled = True | |
| else: | |
| node_id = module_name | |
| disabled = False | |
| info = resolve_from_path(fullpath) | |
| if info is None: | |
| version = 'unknown' | |
| else: | |
| node_id = info['id'] # robust module guessing | |
| version = info['ver'] | |
| return InstalledNodePackage( | |
| id=node_id, fullpath=fullpath, disabled=disabled, version=version | |
| ) | |