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
| #!/usr/bin/env python3 | |
| import subprocess | |
| import os | |
| import re | |
| import datetime | |
| import time | |
| import argparse | |
| from __build__ import build, log_step, log_step_info | |
| _THIS_DIR = os.path.dirname(os.path.abspath(__file__)) | |
| _FILE_PY_PROJECT = os.path.join(_THIS_DIR, 'pyproject.toml') | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument( | |
| "-m", "--message", help="The git commit message", required=True, action="store", type=str | |
| ) | |
| args = parser.parse_args() | |
| start = time.time() | |
| build() | |
| log_step(msg='Updating version in pyproject.toml') | |
| py_project = '' | |
| with open(_FILE_PY_PROJECT, "r", encoding='utf-8') as f: | |
| py_project = f.read() | |
| version = re.search(r'^\s*version\s*=\s*"(.*?)"', py_project, flags=re.MULTILINE) | |
| version_old = version[1] | |
| now = datetime.datetime.now() | |
| version_new = version_old.split('.') | |
| version_new[-1] = f'{str(now.year)[2:]}{now.month:02}{now.day:02}{now.hour:02}{now.minute:02}' | |
| version_new = '.'.join(version_new) | |
| log_step_info(f'Updating from v{version_old} to v{version_new}') | |
| py_project = py_project.replace(version_old, version_new) | |
| with open(_FILE_PY_PROJECT, "w", encoding='utf-8') as f: | |
| f.write(py_project) | |
| log_step(status="Done") | |
| log_step('Running git add') | |
| process = subprocess.Popen(['git', 'add', '.'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) | |
| stdout, stderr = process.communicate() | |
| log_step(status="Done") | |
| log_step('Running git commit') | |
| process = subprocess.Popen(['git', 'commit', '-a', '-v', '-m', args.message], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE) | |
| stdout, stderr = process.communicate() | |
| log_step(status="Done") | |
| print(f'Finished all in {round(time.time() - start, 3)}s') | |