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 text_encoder/model-00001-of-00004.safetensors from asdasdadadsss/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 4.99 GB
-
https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/text_encoder/model-00001-of-00004.safetensors
- Command line
-
hf download hf://asdasdadadsss/LTX-Video/text_encoder/model-00001-of-00004.safetensors
-
curl -L -o model-00001-of-00004.safetensors https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/text_encoder/model-00001-of-00004.safetensors
4.99 GB
- Xet hash:
- bc55d1ee49547aded605938b44aae99ba20d30dbb21e820572df8ddf66572bda
- Size of remote file:
- 4.99 GB
- SHA256:
- 7a68b2c8c080696a10109612a649bc69330991ecfea65930ccfdfbdb011f2686
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.