Instructions to use GraydientPlatformAPI/protoxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/protoxl 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/protoxl", 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:
- bff8c2903be62f198f367ec22a90c2328fbbfac6803f3f1486815c48d860f274
- Size of remote file:
- 1.39 GB
- SHA256:
- 1987d2a2a76a742ea00139a3c53c6f2dfa6ed53ec728d947f52bcf1dc3aca474
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