Instructions to use stablediffusionapi/hassaku-v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/hassaku-v13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/hassaku-v13", 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:
- 5f2e7edbb68711073eeaa4a366289ca847187483219d3ec415cfdc4c7f44ee77
- Size of remote file:
- 246 MB
- SHA256:
- 754a2d83e2ba448aaf7281122d1ebe098887f63342ae79a0732c75b8d754e818
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