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-00002-of-00004.safetensors from asdasdadadsss/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/text_encoder/model-00002-of-00004.safetensors
- Command line
-
hf download hf://asdasdadadsss/LTX-Video/text_encoder/model-00002-of-00004.safetensors
-
curl -L -o model-00002-of-00004.safetensors https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/text_encoder/model-00002-of-00004.safetensors
5 GB
- Xet hash:
- 754fc10ee9ed9657ccd82c55f03202f61254fbe45c0945b4e536e03af84a92ed
- Size of remote file:
- 5 GB
- SHA256:
- b8ed6556d7507e38af5b428c605fb2a6f2bdb7e80bd481308b865f7a40c551ca
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