Instructions to use SleepVeryHard/Anima-BaseV1-UnofficalDiffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SleepVeryHard/Anima-BaseV1-UnofficalDiffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SleepVeryHard/Anima-BaseV1-UnofficalDiffusers", 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
- Xet hash:
- 8902645b028be80eb79915caeec69b43c13cb48d814013435b6188f666b9c5de
- Size of remote file:
- 2.38 GB
- SHA256:
- 6982378267d3712991132eda8069b39151a925724199e17233963b74e31f221e
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