Instructions to use dde/apple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dde/apple with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dde/apple", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d1c9245fabf5b26bd2ed78a31f4e301e7176f8645c8de6bffe3dbb04008e6323
- Size of remote file:
- 246 MB
- SHA256:
- 7e1090ff7c8d59c00c9c2e83ad0ba90d4573e24134f5f2247192e913b837ed74
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