Instructions to use Blackroot/SimpleDiffusion-TensorProductAttentionRope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Blackroot/SimpleDiffusion-TensorProductAttentionRope with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Blackroot/SimpleDiffusion-TensorProductAttentionRope", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 518cab4d98dc716031898f45b0af42252d243ba249db41dea89516f77b104b94
- Size of remote file:
- 1.4 MB
- SHA256:
- d634c5b02054470eb296cb71ac3dec27277a3a3fa521fb03b81288f67cc6311b
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