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-2b-0.9.6-distilled-04-25.safetensors from asdasdadadsss/LTX-Video: direct link, hf CLI and curl.
- Browser
- Download file 6.34 GB
-
https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-2b-0.9.6-distilled-04-25.safetensors
- Command line
-
hf download hf://asdasdadadsss/LTX-Video/ltxv-2b-0.9.6-distilled-04-25.safetensors
-
curl -L -o ltxv-2b-0.9.6-distilled-04-25.safetensors https://huggingface.co/asdasdadadsss/LTX-Video/resolve/main/ltxv-2b-0.9.6-distilled-04-25.safetensors
6.34 GB
- Xet hash:
- 6ae4a3b3b42ca1ddb25a815eb648da8874fad87bf0c557913c7c75317feece3b
- Size of remote file:
- 6.34 GB
- SHA256:
- 94891bd4bd08de30d484befbfc54fdcffe6d1596a131baad700b9baa5e1de86b
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