Instructions to use GraydientPlatformAPI/pansybreed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/pansybreed 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/pansybreed", 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:
- 9057b158f8fc30cca96f19de882a086a35cda3ce05601b77dc7ad5827a007257
- Size of remote file:
- 246 MB
- SHA256:
- f676b65398a322a51f93397125ba63d2da32d282623ce0f958d3ea9133ab89a4
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