Instructions to use GraydientPlatformAPI/photonicpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/photonicpony 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/photonicpony", 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:
- a44d7161e0e17bd5c82d981073923e40c205adc4886b1d7f8737486d3637100c
- Size of remote file:
- 246 MB
- SHA256:
- 0c24a8d7af263f4afdadb6e010716d2b5c064f6d9859fb1788dc6331a38bbd88
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