Image-to-Video
Diffusers
Safetensors
lora
ltx
ltx-2
ltx-2-3
ltx-2.3
ltx-video
lightricks
audio-to-video
text-to-video
image-text-to-audio-video
audio-reactive
audio-reactive-video
music-visualizer
beat-sync
geometric-animation
music-video
video-generation
template:diffusion-lora
Instructions to use fal/ltx2.3-audio-reactive-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/ltx2.3-audio-reactive-lora 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.load_lora_weights("fal/ltx2.3-audio-reactive-lora") prompt = "A man with short gray hair plays a red electric guitar." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Looks really fun but casual users like me can't use it without a workflow
#1
by positiveelevation - opened