Instructions to use SDS1893/sd-dd-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SDS1893/sd-dd-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SDS1893/sd-dd-64", 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:
- 3c98d342efbc0083f65465a333fdf35733a393325bf36c16ccd59da0f5e4e9d9
- Size of remote file:
- 455 MB
- SHA256:
- d59e77b1f1235723685e12d96cfd157545f97ee60eacccfbf05e1a7a06d2d22d
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