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-spatial-upscaler-0.9.7.safetensors from asdasdadadsss/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 505 MB
-
https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-spatial-upscaler-0.9.7.safetensors
- Command line
-
hf download hf://asdasdadadsss/LTX-Video/ltxv-spatial-upscaler-0.9.7.safetensors
-
curl -L -o ltxv-spatial-upscaler-0.9.7.safetensors https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-spatial-upscaler-0.9.7.safetensors
505 MB
- Xet hash:
- 0c745218996dfb11aaad3617e535c0b56ec571f86a26944db028af96266eaf40
- Size of remote file:
- 505 MB
- SHA256:
- 5b076031c6f860db9037a54f3bb819f10bfb5532ea26a6d30062292428a0c208
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