Instructions to use SDS1893/sd-dd-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SDS1893/sd-dd-32 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-32", 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:
- d689d1944b610a6d54f581f40ed2030aad65a8b2fb7024640f209f1df6e94022
- Size of remote file:
- 74.3 MB
- SHA256:
- af28e6329e68375f0fd916ed08f5ba57eb089cf6c768c07b86b9f04f45e6daa9
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