Image-to-Video
Diffusers
Safetensors
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
Retake feature in ComfyUI
#39
by TheLichiMan - opened
Hi all,
I've just seen at the end of the official web (https://ltx.io/model/ltx-2) the Retake feature.
Is it possible to use this feature with the Open Sourced model? In that case, any ideas how to use it inside ComfyUI? Or anyone can share a template?
Thank you. Bests,
Miguel
There's a Retake feature in LTX Studio, which is buil in at the application layer. It's possible to do something similar in a Comfy workflow, the underlying tech is basically masking specific segments of audio and video latents and regenerating them.
We have LTXVSetAudioVideoMaskByTime as a node you can use for this. Also, Kijai's LTXVAudioVideoMask is worth trying.
rluxemburg changed discussion status to closed