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:
- 034995a1a8c99f88716ccd38f2616f15cbaaa35ecb5e8d403a992b1852aee3b6
- Size of remote file:
- 1.39 GB
- SHA256:
- fd8da79bd674d3c6c41178eea8199f7ad12d7d2931c3c81972048708a8333930
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