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
Download epoch_799.png from Blackroot/SimpleDiffusion-TensorProductAttentionRope: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/Blackroot/SimpleDiffusion-TensorProductAttentionRope/resolve/main/epoch_799.png
- Command line
-
hf download hf://Blackroot/SimpleDiffusion-TensorProductAttentionRope/epoch_799.png
-
curl -L -o epoch_799.png https://huggingface.co/Blackroot/SimpleDiffusion-TensorProductAttentionRope/resolve/main/epoch_799.png
1.37 MB

- Xet hash:
- 856a723ce95bd86d5854aaa7f9094f964eba4eeb3387e6a284f790499bff6e0e
- Size of remote file:
- 1.37 MB
- SHA256:
- 48deb577e05b338a1dd5df016bbdaeec399464db91f6cc3f9c749ffc2314b004
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