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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f7b805ef41580028fa7ea762c15f65363c6fd4eb784920bf44434962870251d6
- Size of remote file:
- 1.72 GB
- SHA256:
- b85340912c86809739e74ae4399c7a80652c583db5a094e2da99fd6ee2173072
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