Image-to-Video
Diffusers
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-2-3
ltx-video
ltxv
lightricks
Instructions to use Lightricks/LTX-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-2.3 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-2.3", 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
LTX 2.3 imageaudio2v doesn't work no matter what I try. ..
#23
by Puppets-Master - opened
I'm running on rtx 5090
Does your ComfyUI install use PyTorch with CUDA >= 12.8 ?
You need CUDA 12.8 as the minimum for proper support of NVidia Blackwell architecture GPUs, such as the RTX 5090.
I have Comyui for Windows desktop. It updates automatically.
Please share some details with us in Discord if you'd like help troubleshooting: https://discord.gg/ltxplatform
rluxemburg changed discussion status to closed