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
Request LTX-2 NVFP4 Model Please
#9
by wa999 - opened
Request for LTX-2 NVFP4 Model
Possibly distilled?
Thank You!
would be nice if you actually read the model card. the 'fp4' .safetensors file is nvfp4 format
https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-dev-fp4.safetensors
Distilled is not supported with NVFP4
Is not supported yet? NVFP4 is a must have for RTX 5080
How about a INT4 distilled version?
Thanks for the info. Is there any plan to support Distilled with NVFP4 in the future, or is it technically impossible?