Instructions to use vidfom/Ltx-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

Ltx-3 / ComfyUI /.github /workflows /pullrequest-ci-run.yml

vidfom

Upload folder using huggingface_hub

e00eceb verified about 2 months ago

raw

history blame contribute delete

1.94 kB

	# This is the GitHub Workflow that drives full-GPU-enabled tests of pull requests to ComfyUI, when the 'Run-CI-Test' label is added
	# Results are reported as checkmarks on the commits, as well as onto https://ci.comfy.org/
	name: Pull Request CI Workflow Runs
	on:
	pull_request_target:
	types: [labeled]

	jobs:
	pr-test-stable:
	if: ${{ github.event.label.name == 'Run-CI-Test' }}
	strategy:
	fail-fast: false
	matrix:
	os: [macos, linux, windows]
	python_version: ["3.9", "3.10", "3.11", "3.12"]
	cuda_version: ["12.1"]
	torch_version: ["stable"]
	include:
	- os: macos
	runner_label: [self-hosted, macOS]
	flags: "--use-pytorch-cross-attention"
	- os: linux
	runner_label: [self-hosted, Linux]
	flags: ""
	- os: windows
	runner_label: [self-hosted, Windows]
	flags: ""
	runs-on: ${{ matrix.runner_label }}
	steps:
	- name: Test Workflows
	uses: comfy-org/comfy-action@main
	with:
	os: ${{ matrix.os }}
	python_version: ${{ matrix.python_version }}
	torch_version: ${{ matrix.torch_version }}
	google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
	comfyui_flags: ${{ matrix.flags }}
	use_prior_commit: 'true'
	comment:
	if: ${{ github.event.label.name == 'Run-CI-Test' }}
	runs-on: ubuntu-latest
	permissions:
	pull-requests: write
	steps:
	- uses: actions/github-script@v6
	with:
	script: \|
	github.rest.issues.createComment({
	issue_number: context.issue.number,
	owner: context.repo.owner,
	repo: context.repo.repo,
	body: '(Automated Bot Message) CI Tests are running, you can view the results at https://ci.comfy.org/?branch=${{ github.event.pull_request.number }}%2Fmerge'
	})