Instructions to use GraydientPlatformAPI/mythage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mythage 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/mythage", 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:
- 1394d376c6aebf46f774f486a146278a0ade5d01fef06f7a110d2f5d81d204c5
- Size of remote file:
- 246 MB
- SHA256:
- 51ef21304239ee6c6dd95ecb14f5dbedc9b650d168d9aa14544ebd1a49e90e58
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