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:
- d11ac4c5e831a0e3dff1199a9a569920db2cd7d5b14bd1c31ca11e660209fbd6
- Size of remote file:
- 1.39 GB
- SHA256:
- d780952df4fdd0bfc0326413372b4a69974e17536b80154c896d15466263732b
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