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 app.logger import on_flush | |
| import os | |
| import shutil | |
| class TerminalService: | |
| def __init__(self, server): | |
| self.server = server | |
| self.cols = None | |
| self.rows = None | |
| self.subscriptions = set() | |
| on_flush(self.send_messages) | |
| def get_terminal_size(self): | |
| try: | |
| size = os.get_terminal_size() | |
| return (size.columns, size.lines) | |
| except OSError: | |
| try: | |
| size = shutil.get_terminal_size() | |
| return (size.columns, size.lines) | |
| except OSError: | |
| return (80, 24) # fallback to 80x24 | |
| def update_size(self): | |
| columns, lines = self.get_terminal_size() | |
| changed = False | |
| if columns != self.cols: | |
| self.cols = columns | |
| changed = True | |
| if lines != self.rows: | |
| self.rows = lines | |
| changed = True | |
| if changed: | |
| return {"cols": self.cols, "rows": self.rows} | |
| return None | |
| def subscribe(self, client_id): | |
| self.subscriptions.add(client_id) | |
| def unsubscribe(self, client_id): | |
| self.subscriptions.discard(client_id) | |
| def send_messages(self, entries): | |
| if not len(entries) or not len(self.subscriptions): | |
| return | |
| new_size = self.update_size() | |
| for client_id in self.subscriptions.copy(): # prevent: Set changed size during iteration | |
| if client_id not in self.server.sockets: | |
| # Automatically unsub if the socket has disconnected | |
| self.unsubscribe(client_id) | |
| continue | |
| self.server.send_sync("logs", {"entries": entries, "size": new_size}, client_id) | |