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:
- 3953b83f1dfa2a52f44d31d7c916881dd53a41aa94410d6b9c4c9c166fb6087f
- Size of remote file:
- 492 MB
- SHA256:
- ac79c38a59a96bb2b43b50d9e4bb7d2b641abaf8d6e7e2d7f4b527dd7f8404ac
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