Instructions to use vantagewithai/LTX2.3-10Eros-Split with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vantagewithai/LTX2.3-10Eros-Split 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("vantagewithai/LTX2.3-10Eros-Split", 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
Vaes
#1
by thevegit0 - opened
are the VAEs from eros/sulphur? or are they just the normal vanilla ones from ltx?
You can use the normal vanilla ones as well 🙂 There doesn’t seem to be any difference.
These versions were mainly split from the respective Eros/Sulphur checkpoints for users who don’t already have the base LTX models downloaded.
vantagewithai changed discussion status to closed