Instructions to use GraydientPlatformAPI/deli6-in with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/deli6-in 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/deli6-in", 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:
- d0497a7adfc9b84d34efa711cc3e53a50648a19e62daff5fc939f00df568b893
- Size of remote file:
- 167 MB
- SHA256:
- 577abdb29d0ca00d00481475c336cb4db5f13a0ea5b254c65c48f10cf406161d
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