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
nvfp4
quantized
fp4me
Instructions to use MrReclusive/LTX-2.3-FP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MrReclusive/LTX-2.3-FP4 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("MrReclusive/LTX-2.3-FP4", 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
Is it possible to share the basic workflow to us?
#3
by DanielLien - opened
Still not fully understand the screenshot yet, it would be great if we can have the basic workflow to load it directly. Or, do you have a github page for this custom node? I tried to search but found nothing.
Still not fully understand the screenshot yet, it would be great if we can have the basic workflow to load it directly. Or, do you have a github page for this custom node? I tried to search but found nothing.
i don't have this on github, as my github stuff is all game dev stuff.
i do have videos on civit that use these in this workflow, should be able to grab one and get the workflow, but warning, my workflows are multigpu and pretty intense.
https://civitai.com/user/MrReclusive666