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
File size: 6,969 Bytes
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# TODO(yoland): clean up this after I get back down
import sys
import pytest
import os
import tempfile
from unittest.mock import patch
from importlib import reload
import folder_paths
import comfy.cli_args
from comfy.options import enable_args_parsing
enable_args_parsing()
@pytest.fixture()
def clear_folder_paths():
# Reload the module after each test to ensure isolation
yield
reload(folder_paths)
@pytest.fixture
def temp_dir():
with tempfile.TemporaryDirectory() as tmpdirname:
yield tmpdirname
@pytest.fixture
def set_base_dir():
def _set_base_dir(base_dir):
# Mock CLI args
with patch.object(sys, 'argv', ["main.py", "--base-directory", base_dir]):
reload(comfy.cli_args)
reload(folder_paths)
yield _set_base_dir
# Reload the modules after each test to ensure isolation
with patch.object(sys, 'argv', ["main.py"]):
reload(comfy.cli_args)
reload(folder_paths)
def test_get_directory_by_type(clear_folder_paths):
test_dir = "/test/dir"
folder_paths.set_output_directory(test_dir)
assert folder_paths.get_directory_by_type("output") == test_dir
assert folder_paths.get_directory_by_type("invalid") is None
def test_annotated_filepath():
assert folder_paths.annotated_filepath("test.txt") == ("test.txt", None)
assert folder_paths.annotated_filepath("test.txt [output]") == ("test.txt", folder_paths.get_output_directory())
assert folder_paths.annotated_filepath("test.txt [input]") == ("test.txt", folder_paths.get_input_directory())
assert folder_paths.annotated_filepath("test.txt [temp]") == ("test.txt", folder_paths.get_temp_directory())
def test_get_annotated_filepath():
default_dir = "/default/dir"
assert folder_paths.get_annotated_filepath("test.txt", default_dir) == os.path.join(default_dir, "test.txt")
assert folder_paths.get_annotated_filepath("test.txt [output]") == os.path.join(folder_paths.get_output_directory(), "test.txt")
def test_add_model_folder_path_append(clear_folder_paths):
folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True)
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False)
assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"]
def test_add_model_folder_path_insert(clear_folder_paths):
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False)
folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True)
assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"]
def test_add_model_folder_path_re_add_existing_default(clear_folder_paths):
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False)
folder_paths.add_model_folder_path("test_folder", "/old_default/path", is_default=True)
assert folder_paths.get_folder_paths("test_folder") == ["/old_default/path", "/test/path"]
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=True)
assert folder_paths.get_folder_paths("test_folder") == ["/test/path", "/old_default/path"]
def test_add_model_folder_path_re_add_existing_non_default(clear_folder_paths):
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False)
folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True)
assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"]
folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False)
assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"]
def test_recursive_search(temp_dir):
os.makedirs(os.path.join(temp_dir, "subdir"))
open(os.path.join(temp_dir, "file1.txt"), "w").close()
open(os.path.join(temp_dir, "subdir", "file2.txt"), "w").close()
files, dirs = folder_paths.recursive_search(temp_dir)
assert set(files) == {"file1.txt", os.path.join("subdir", "file2.txt")}
assert len(dirs) == 2 # temp_dir and subdir
def test_filter_files_extensions():
files = ["file1.txt", "file2.jpg", "file3.png", "file4.txt"]
assert folder_paths.filter_files_extensions(files, [".txt"]) == ["file1.txt", "file4.txt"]
assert folder_paths.filter_files_extensions(files, [".jpg", ".png"]) == ["file2.jpg", "file3.png"]
assert folder_paths.filter_files_extensions(files, []) == files
@patch("folder_paths.recursive_search")
@patch("folder_paths.folder_names_and_paths")
def test_get_filename_list(mock_folder_names_and_paths, mock_recursive_search):
mock_folder_names_and_paths.__getitem__.return_value = (["/test/path"], {".txt"})
mock_recursive_search.return_value = (["file1.txt", "file2.jpg"], {})
assert folder_paths.get_filename_list("test_folder") == ["file1.txt"]
def test_get_save_image_path(temp_dir):
with patch("folder_paths.output_directory", temp_dir):
full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path("test", temp_dir, 100, 100)
assert os.path.samefile(full_output_folder, temp_dir)
assert filename == "test"
assert counter == 1
assert subfolder == ""
assert filename_prefix == "test"
def test_base_path_changes(set_base_dir):
test_dir = os.path.abspath("/test/dir")
set_base_dir(test_dir)
assert folder_paths.base_path == test_dir
assert folder_paths.models_dir == os.path.join(test_dir, "models")
assert folder_paths.input_directory == os.path.join(test_dir, "input")
assert folder_paths.output_directory == os.path.join(test_dir, "output")
assert folder_paths.temp_directory == os.path.join(test_dir, "temp")
assert folder_paths.user_directory == os.path.join(test_dir, "user")
assert os.path.join(test_dir, "custom_nodes") in folder_paths.get_folder_paths("custom_nodes")
for name in ["checkpoints", "loras", "vae", "configs", "embeddings", "controlnet", "classifiers"]:
assert folder_paths.get_folder_paths(name)[0] == os.path.join(test_dir, "models", name)
def test_base_path_change_clears_old(set_base_dir):
test_dir = os.path.abspath("/test/dir")
set_base_dir(test_dir)
assert len(folder_paths.get_folder_paths("custom_nodes")) == 1
single_model_paths = [
"checkpoints",
"loras",
"vae",
"configs",
"clip_vision",
"style_models",
"diffusers",
"vae_approx",
"gligen",
"upscale_models",
"embeddings",
"hypernetworks",
"photomaker",
"classifiers",
]
for name in single_model_paths:
assert len(folder_paths.get_folder_paths(name)) == 1
for name in ["controlnet", "diffusion_models", "text_encoders"]:
assert len(folder_paths.get_folder_paths(name)) == 2
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