Instructions to use Grigsss/azuki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Grigsss/azuki with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Grigsss/azuki", dtype=torch.bfloat16, device_map="cuda") prompt = "azuki" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ade0e953a039666ebd0be758bedd92305d2e65b3038c92eccdbc7329b78fa48a
- Size of remote file:
- 492 MB
- SHA256:
- 426ccb6f80ec8f553a93549c4e37a50e94b653b19a11dfa10b88b4f49f1a1da0
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