Instructions to use asdasdadadsss/LTX-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use asdasdadadsss/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("asdasdadadsss/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 ltxv-13b-0.9.7-distilled.safetensors from asdasdadadsss/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 28.6 GB
-
https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled.safetensors
- Command line
-
hf download hf://asdasdadadsss/LTX-Video/ltxv-13b-0.9.7-distilled.safetensors
-
curl -L -o ltxv-13b-0.9.7-distilled.safetensors https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled.safetensors
28.6 GB
- Xet hash:
- 9620abcda7ecce5d1ffa5e941be93095cd62883cda72c608a801e4fe41774e4b
- Size of remote file:
- 28.6 GB
- SHA256:
- ae3b07c28f19e8eec97345e5d0142aca88a105e2e4fd581ec68e4efb17679943
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