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
- Draw Things
- DiffusionBee
- Xet hash:
- 9f465d1d098f07d3f66d1301446ce40af4b43cd061e8e714a184d281855e7be8
- Size of remote file:
- 246 MB
- SHA256:
- 0fc3c89563bba3c8cf8389eed87ee712013380be539d2aacf8ce10f814ed68ed
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