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:
- 2a100b4d15bc641caba7f8361c71d807ef981712162d54bc28852d314a179219
- Size of remote file:
- 2.78 GB
- SHA256:
- dce6ee97f60e3f18f6ab12e9e03421973bf3519cf7f38cdb927012be6c51c763
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