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
- Draw Things
- DiffusionBee
- Xet hash:
- f3c0fde47b14d2aa61e6816f5f36f3ad88a04e083d67667bc27ed689c0f80c78
- Size of remote file:
- 246 MB
- SHA256:
- 3670d805fd9c20f39ea894a8bb2beb598e369fddd04788c15cde7106f286a0a4
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