Instructions to use GraydientPlatformAPI/amore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/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("GraydientPlatformAPI/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a084043b45a677a56a4591861f102667b26f94030d223ee0972fdafd2bdd6ca
- Size of remote file:
- 1.72 GB
- SHA256:
- 85d95f3a47251ae4807a9cb7d3a6f02d5087a86fc73bc65a3991f161ba415daa
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