Instructions to use Lightricks/LTX-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Download scheduler/scheduler_config.json from Lightricks/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/Lightricks/LTX-Video/resolve/8061df46afbb2e74b58255eb3c51288e30e396a9/scheduler/scheduler_config.json
- Command line
-
hf download hf://Lightricks/LTX-Video@8061df46afbb2e74b58255eb3c51288e30e396a9/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/Lightricks/LTX-Video/resolve/8061df46afbb2e74b58255eb3c51288e30e396a9/scheduler/scheduler_config.json
418 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.32.0.dev0", | |
| "base_image_seq_len": 1024, | |
| "base_shift": 0.95, | |
| "invert_sigmas": false, | |
| "max_image_seq_len": 4096, | |
| "max_shift": 2.05, | |
| "num_train_timesteps": 1000, | |
| "shift": 1.0, | |
| "shift_terminal": 0.1, | |
| "use_beta_sigmas": false, | |
| "use_dynamic_shifting": true, | |
| "use_exponential_sigmas": false, | |
| "use_karras_sigmas": false | |
| } |