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
| __version__ = "1.3.7" | |
| import yaml | |
| import json | |
| import os | |
| import folder_paths | |
| import importlib | |
| cwd_path = os.path.dirname(os.path.realpath(__file__)) | |
| comfy_path = folder_paths.base_path | |
| NODE_CLASS_MAPPINGS = {} | |
| NODE_DISPLAY_NAME_MAPPINGS = {} | |
| importlib.import_module('.py.routes', __name__) | |
| importlib.import_module('.py.server', __name__) | |
| nodes_list = ["util", "seed", "prompt", "loaders", "adapter", "inpaint", "preSampling", "samplers", "fix", "pipe", "xyplot", "image", "logic", "api", "deprecated"] | |
| for module_name in nodes_list: | |
| imported_module = importlib.import_module(".py.nodes.{}".format(module_name), __name__) | |
| NODE_CLASS_MAPPINGS = {**NODE_CLASS_MAPPINGS, **imported_module.NODE_CLASS_MAPPINGS} | |
| NODE_DISPLAY_NAME_MAPPINGS = {**NODE_DISPLAY_NAME_MAPPINGS, **imported_module.NODE_DISPLAY_NAME_MAPPINGS} | |
| #Wildcards | |
| from .py.libs.wildcards import read_wildcard_dict | |
| wildcards_path = os.path.join(os.path.dirname(__file__), "wildcards") | |
| if not os.path.exists(wildcards_path): | |
| os.mkdir(wildcards_path) | |
| # Add custom wildcards example | |
| example_path = os.path.join(wildcards_path, "example.txt") | |
| if not os.path.exists(example_path): | |
| with open(example_path, 'w') as f: | |
| text = "blue\nred\nyellow\ngreen\nbrown\npink\npurple\norange\nblack\nwhite" | |
| f.write(text) | |
| read_wildcard_dict(wildcards_path) | |
| #Styles | |
| styles_path = os.path.join(os.path.dirname(__file__), "styles") | |
| samples_path = os.path.join(os.path.dirname(__file__), "styles", "samples") | |
| if os.path.exists(styles_path): | |
| if not os.path.exists(samples_path): | |
| os.mkdir(samples_path) | |
| else: | |
| os.mkdir(styles_path) | |
| os.mkdir(samples_path) | |
| # Add custom styles example | |
| example_path = os.path.join(styles_path, "your_styles.json.example") | |
| if not os.path.exists(example_path): | |
| import json | |
| data = [ | |
| { | |
| "name": "Example Style", | |
| "name_cn": "示例样式", | |
| "prompt": "(masterpiece), (best quality), (ultra-detailed), {prompt} ", | |
| "negative_prompt": "text, watermark, logo" | |
| }, | |
| ] | |
| # Write to file | |
| with open(example_path, 'w', encoding='utf-8') as f: | |
| json.dump(data, f, indent=4, ensure_ascii=False) | |
| web_default_version = 'v2' | |
| # web directory | |
| config_path = os.path.join(cwd_path, "config.yaml") | |
| if os.path.isfile(config_path): | |
| with open(config_path, 'r') as f: | |
| data = yaml.load(f, Loader=yaml.FullLoader) | |
| if data and "WEB_VERSION" in data: | |
| directory = f"web_version/{data['WEB_VERSION']}" | |
| with open(config_path, 'w') as f: | |
| yaml.dump(data, f) | |
| elif web_default_version != 'v1': | |
| if not data: | |
| data = {'WEB_VERSION': web_default_version} | |
| elif 'WEB_VERSION' not in data: | |
| data = {**data, 'WEB_VERSION': web_default_version} | |
| with open(config_path, 'w') as f: | |
| yaml.dump(data, f) | |
| directory = f"web_version/{web_default_version}" | |
| else: | |
| directory = f"web_version/v1" | |
| if not os.path.exists(os.path.join(cwd_path, directory)): | |
| print(f"web root {data['WEB_VERSION']} not found, using default") | |
| directory = f"web_version/{web_default_version}" | |
| WEB_DIRECTORY = directory | |
| else: | |
| directory = f"web_version/{web_default_version}" | |
| WEB_DIRECTORY = directory | |
| __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', "WEB_DIRECTORY"] | |
| print(f'\033[34m[ComfyUI-Easy-Use] server: \033[0mv{__version__} \033[92mLoaded\033[0m') | |
| print(f'\033[34m[ComfyUI-Easy-Use] web root: \033[0m{os.path.join(cwd_path, directory)} \033[92mLoaded\033[0m') | |