Instructions to use Yanis236/HySCDG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yanis236/HySCDG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yanis236/HySCDG", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b86f4ef017e14713a4207d69052d3206c512ddb6f090a85863f42164eabd468
- Size of remote file:
- 1.46 GB
- SHA256:
- 6cef9d90007f1c72c5c09442acadbcbd917152501449c3af2237e518edbbeeb3
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