Instructions to use TenStrip/LTX2.3-10Eros with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TenStrip/LTX2.3-10Eros 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("TenStrip/LTX2.3-10Eros", 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
What's new in v1.2?
#36
by Namaku - opened
care to add what's new on the new version? I assume old workflow still work?
Yes it's just a small change to move toward just a more stable v1 with less face drift and hopefully better complex prompting and timestamp response on timeline or director workflows.
Is there any trick to be able to run your workflow including upscale on 5090? I tried to use 1.2 and got OOM. I disable the upscale and it works very well. Really want to see what upscale do.