Instructions to use GraydientPlatformAPI/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/test2 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("GraydientPlatformAPI/test2", 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:
- 955707658e918e8cc8ad7a3c314d6e3202b1ddd89de5b86b62968e9b4d94acdf
- Size of remote file:
- 1.72 GB
- SHA256:
- 5acfda401d310ba7a89f0ed69ef204b8094f3fee5e868a59d62b0cbe915a00d9
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