Instructions to use vidfom/Ltx-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use vidfom/Ltx-3 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -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 serve -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 Desktop
- 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
- Atomic Chat
Download ComfyUI/extra_model_paths.yaml.example from vidfom/Ltx-3: direct link, hf CLI and curl.
- Browser
- Download file 1.89 kB
-
https://huggingface.co/vidfom/Ltx-3/resolve/main/ComfyUI/extra_model_paths.yaml.example
- Command line
-
hf download hf://vidfom/Ltx-3/ComfyUI/extra_model_paths.yaml.example
-
curl -L -o extra_model_paths.yaml.example https://huggingface.co/vidfom/Ltx-3/resolve/main/ComfyUI/extra_model_paths.yaml.example
1.89 kB
| Rename this to extra_model_paths.yaml and ComfyUI will load it | |
| #config for comfyui | |
| your base path should be either an existing comfy install or a central folder where you store all of your models, loras, etc. | |
| #comfyui: | |
| base_path: path/to/comfyui/ | |
| # You can use is_default to mark that these folders should be listed first, and used as the default dirs for eg downloads | |
| #is_default: true | |
| checkpoints: models/checkpoints/ | |
| text_encoders: | | |
| models/text_encoders/ | |
| models/clip/ # legacy location still supported | |
| clip_vision: models/clip_vision/ | |
| configs: models/configs/ | |
| controlnet: models/controlnet/ | |
| diffusion_models: | | |
| models/diffusion_models | |
| models/unet | |
| embeddings: models/embeddings/ | |
| loras: models/loras/ | |
| upscale_models: models/upscale_models/ | |
| vae: models/vae/ | |
| audio_encoders: models/audio_encoders/ | |
| model_patches: models/model_patches/ | |
| #config for a1111 ui | |
| all you have to do is uncomment this (remove the #) and change the base_path to where yours is installed | |
| #a111: | |
| base_path: path/to/stable-diffusion-webui/ | |
| checkpoints: models/Stable-diffusion | |
| configs: models/Stable-diffusion | |
| vae: models/VAE | |
| loras: | | |
| models/Lora | |
| models/LyCORIS | |
| upscale_models: | | |
| models/ESRGAN | |
| models/RealESRGAN | |
| models/SwinIR | |
| embeddings: embeddings | |
| hypernetworks: models/hypernetworks | |
| controlnet: models/ControlNet | |
| # For a full list of supported keys (style_models, vae_approx, hypernetworks, photomaker, | |
| model_patches, audio_encoders, classifiers, etc.) see folder_paths.py. | |
| #other_ui: | |
| base_path: path/to/ui | |
| checkpoints: models/checkpoints | |
| gligen: models/gligen | |
| custom_nodes: path/custom_nodes | |