Instructions to use GraydientPlatformAPI/hassaku13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/hassaku13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/hassaku13", 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:
- e80d0f42692172f85081b49f30d72c594b9242af5f6445a0215b27a3931bd2ae
- Size of remote file:
- 1.72 GB
- SHA256:
- a1115520ca198074ee3fa49c70cf6aaaca88fef31b4543672efbf84c1417fac6
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