Instructions to use GraydientPlatformAPI/richyrich with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/richyrich 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/richyrich", 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:
- c603f3de9ef6c89fd727e2953fa4a80084fcb4216da6f95ad1f2d0d587024a68
- Size of remote file:
- 1.39 GB
- SHA256:
- a3efcf5cc49109fec378e2e6598cb0cf6da5ea6d56a0a7cfcffb786c5f5185f9
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