Instructions to use stablediffusionapi/animesai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animesai 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/animesai", 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:
- 835fce8c9516136532259f379ab099eb291634bfde171db7967db8bd4ad16841
- Size of remote file:
- 167 MB
- SHA256:
- a47fec8c77e537ba806bbf1825e7da2aac0d8d50753c608b3569f90edbc98b15
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