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
Can you add a license for this model?
#37
by LukeJacob2023 - opened
What license does this model use? Can it be used for personal content production like posts in facebook?
It's LTXV2 license, I don't control it. Commercial use of generations and fully open weights, but can't be offered as commercial online generation service without having LTX commercial use license.
It's LTXV2 license, I don't control it. Commercial use of generations and fully open weights, but can't be offered as commercial online generation service without having LTX commercial use license.
Thanks for your reply, If possible, could you please add the LTX 2.3 license on the model card? That would make the license much clearer.