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
Model is not open source or open weights due to commercial use restrictions. "Shared weights" is a more appropriate label
#21
by dmhf - opened
Model is not open source or open weights due to commercial use restrictions. Shared weights or weights available label is more appropriate. See https://opensource.org/osd for the open source definition.
Calling it open source could confuse users into thinking they can incorporate it into their product freely (at any scale).
dmhf changed pull request title from Model is not open source or open weights due to commercial use restrictions. Shared source label is more appropriate. to Model is not open source or open weights due to commercial use restrictions. "Shared weights" is a more appropriate label
I agree, the model should not be stating "Fully Open Source" in the marketing material.
rluxemburg changed pull request status to closed