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:
- 5c0482fe1b5351f766d6b051679c977f40d0452c0fa6b153e02e504efa2cb16e
- Size of remote file:
- 5.14 GB
- SHA256:
- c415a4d5768cff1422bb504bc08576b98fe9b8251a5530634e2c95d7afdb4539
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