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
Sulphur2 or Eros?
#3
by hal9000ace - opened
i tested both, but i tink Eros is more fluid
There's no competition, it's good to know that then my merge strategy may be the right one to mimic. But are you coming from an I2V or T2V approach?
I'm coming from an I2V approach. What do you recommend? Thanks
Eros for I2V unless it's very graphic and you want full nude transitions or details, sulphur will have the most possible but Eros seems to have more prompted movement.