Image-to-Video
Diffusers
Safetensors
LTX2Pipeline
text-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-2
ltx-video
ltxv
lightricks
Instructions to use Lightricks/LTX-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-2 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("Lightricks/LTX-2", 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Download vae/diffusion_pytorch_model.safetensors from Lightricks/LTX-2: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/Lightricks/LTX-2/resolve/refs%2Fpr%2F27/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Lightricks/LTX-2@refs/pr/27/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Lightricks/LTX-2/resolve/refs%2Fpr%2F27/vae/diffusion_pytorch_model.safetensors
2.44 GB
- Xet hash:
- 81ae5646cf3ecdb1e4b0ce027f408abde35812a214cceeb7c659a3b33bd1b3a1
- Size of remote file:
- 2.44 GB
- SHA256:
- 107cc359e3c4bce18c53d98686f4b3fe10c4207b6665d89b38b0741270514bfb
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