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
| name: Append API Node PR template | |
| on: | |
| pull_request_target: | |
| types: [opened, reopened, synchronize, ready_for_review] | |
| paths: | |
| - 'comfy_api_nodes/**' # only run if these files changed | |
| permissions: | |
| contents: read | |
| pull-requests: write | |
| jobs: | |
| inject: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Ensure template exists and append to PR body | |
| uses: actions/github-script@v7 | |
| with: | |
| script: | | |
| const { owner, repo } = context.repo; | |
| const number = context.payload.pull_request.number; | |
| const templatePath = '.github/PULL_REQUEST_TEMPLATE/api-node.md'; | |
| const marker = '<!-- API_NODE_PR_CHECKLIST: do not remove -->'; | |
| const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: number }); | |
| let templateText; | |
| try { | |
| const res = await github.rest.repos.getContent({ | |
| owner, | |
| repo, | |
| path: templatePath, | |
| ref: pr.base.ref | |
| }); | |
| const buf = Buffer.from(res.data.content, res.data.encoding || 'base64'); | |
| templateText = buf.toString('utf8'); | |
| } catch (e) { | |
| core.setFailed(`Required PR template not found at "${templatePath}" on ${pr.base.ref}. Please add it to the repo.`); | |
| return; | |
| } | |
| // Enforce the presence of the marker inside the template (for idempotence) | |
| if (!templateText.includes(marker)) { | |
| core.setFailed(`Template at "${templatePath}" does not contain the required marker:\n${marker}\nAdd it so we can detect duplicates safely.`); | |
| return; | |
| } | |
| // If the PR already contains the marker, do not append again. | |
| const body = pr.body || ''; | |
| if (body.includes(marker)) { | |
| core.info('Template already present in PR body; nothing to inject.'); | |
| return; | |
| } | |
| const newBody = (body ? body + '\n\n' : '') + templateText + '\n'; | |
| await github.rest.pulls.update({ owner, repo, pull_number: number, body: newBody }); | |
| core.notice('API Node template appended to PR description.'); | |