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
| import os | |
| import sys | |
| import pytest | |
| from app.assets.services.file_utils import is_visible, list_files_recursively | |
| class TestIsVisible: | |
| def test_visible_file(self): | |
| assert is_visible("file.txt") is True | |
| def test_hidden_file(self): | |
| assert is_visible(".hidden") is False | |
| def test_hidden_directory(self): | |
| assert is_visible(".git") is False | |
| def test_visible_directory(self): | |
| assert is_visible("src") is True | |
| def test_dotdot_is_hidden(self): | |
| assert is_visible("..") is False | |
| def test_dot_is_hidden(self): | |
| assert is_visible(".") is False | |
| class TestListFilesRecursively: | |
| def test_skips_hidden_files(self, tmp_path): | |
| (tmp_path / "visible.txt").write_text("a") | |
| (tmp_path / ".hidden").write_text("b") | |
| result = list_files_recursively(str(tmp_path)) | |
| assert len(result) == 1 | |
| assert result[0].endswith("visible.txt") | |
| def test_skips_hidden_directories(self, tmp_path): | |
| hidden_dir = tmp_path / ".hidden_dir" | |
| hidden_dir.mkdir() | |
| (hidden_dir / "file.txt").write_text("a") | |
| visible_dir = tmp_path / "visible_dir" | |
| visible_dir.mkdir() | |
| (visible_dir / "file.txt").write_text("b") | |
| result = list_files_recursively(str(tmp_path)) | |
| assert len(result) == 1 | |
| assert "visible_dir" in result[0] | |
| assert ".hidden_dir" not in result[0] | |
| def test_empty_directory(self, tmp_path): | |
| result = list_files_recursively(str(tmp_path)) | |
| assert result == [] | |
| def test_nonexistent_directory(self, tmp_path): | |
| result = list_files_recursively(str(tmp_path / "nonexistent")) | |
| assert result == [] | |
| def test_follows_symlinked_directories(self, tmp_path): | |
| target = tmp_path / "real_dir" | |
| target.mkdir() | |
| (target / "model.safetensors").write_text("data") | |
| root = tmp_path / "root" | |
| root.mkdir() | |
| (root / "link").symlink_to(target) | |
| result = list_files_recursively(str(root)) | |
| assert len(result) == 1 | |
| assert result[0].endswith("model.safetensors") | |
| assert "link" in result[0] | |
| def test_follows_symlinked_files(self, tmp_path): | |
| real_file = tmp_path / "real.txt" | |
| real_file.write_text("content") | |
| root = tmp_path / "root" | |
| root.mkdir() | |
| (root / "link.txt").symlink_to(real_file) | |
| result = list_files_recursively(str(root)) | |
| assert len(result) == 1 | |
| assert result[0].endswith("link.txt") | |
| def test_circular_symlinks_do_not_loop(self, tmp_path): | |
| dir_a = tmp_path / "a" | |
| dir_a.mkdir() | |
| (dir_a / "file.txt").write_text("a") | |
| # a/b -> a (circular) | |
| (dir_a / "b").symlink_to(dir_a) | |
| result = list_files_recursively(str(dir_a)) | |
| assert len(result) == 1 | |
| assert result[0].endswith("file.txt") | |
| def test_mutual_circular_symlinks(self, tmp_path): | |
| dir_a = tmp_path / "a" | |
| dir_b = tmp_path / "b" | |
| dir_a.mkdir() | |
| dir_b.mkdir() | |
| (dir_a / "file_a.txt").write_text("a") | |
| (dir_b / "file_b.txt").write_text("b") | |
| # a/link_b -> b and b/link_a -> a | |
| (dir_a / "link_b").symlink_to(dir_b) | |
| (dir_b / "link_a").symlink_to(dir_a) | |
| result = list_files_recursively(str(dir_a)) | |
| basenames = sorted(os.path.basename(p) for p in result) | |
| assert "file_a.txt" in basenames | |
| assert "file_b.txt" in basenames | |