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 is new in v3 version!
#47
by xiaojiemuna1984610 - opened
Is the V3 version of 10eros only compatible with DMD LoRAs, or can it be used alongside legacy LoRAs from earlier iterations? Additionally, what updates are included in the V3 release? Is it possible to supply LoRAs with Rank 128 or Rank 64 configurations? The Rank 256 LoRA variant carries an excessively large file size.
Are there plans to release a BF16 version of v1.3 DiT?
Are there plans to release a BF16 version of v1.3 DiT?
If you read sulphur discord you will know, yes it already uploaded, like 15% for now.