Instructions to use stablediffusionapi/aniverse-v3-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/aniverse-v3-pruned 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/aniverse-v3-pruned", 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:
- 297221b352d6ca6aaaaca42171283d687a6ff45f889bef43a5c89bedb97deca7
- Size of remote file:
- 246 MB
- SHA256:
- a7cb10d23737bc4a1f358870710a2e7796b6cf23825f2b55306df9df4c5c78d0
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