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
RuntimeError: The size of tensor a (8800) must match the size of tensor b (1168256) at non-singleton dimension 2
#45
by longer13 - opened
有没有谁遇到过这种情况。
只要一运行就出现:RuntimeError: The size of tensor a (8800) must match the size of tensor b (1168256) at non-singleton dimension 2 这个错误窗口。
me,how to fix?
me too,怎么解决啊
All tries with the fp4 gemma? If anything try to copy the workflow delete the "reference enable" or set "reference conditioning" to 0.0 and try it. If that works run it with "verbose" on and copy and paste the reference logs here for me.
