Instructions to use stablediffusionapi/amore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/amore 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/amore", 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:
- c171a85c6e6d8a8159269ab0f3e4ef626acb56357ec234ed6b8c2d71624b88a8
- Size of remote file:
- 246 MB
- SHA256:
- e49fa7ad9621cf9ac6de9cf1fff1a4dfb93ec567487319c4da248187115a8686
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