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:
- a99a608287298348c9e7410c7edf7ff18142ffbae981a6a147099840404e523f
- Size of remote file:
- 5.14 GB
- SHA256:
- f33011400e6cfbd41331cd2717e78663495818522b2f0f30db9b1e2c93db8e56
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