Instructions to use GraydientPlatformAPI/spicypizza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/spicypizza 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/spicypizza", 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:
- 033bf84124d8679e9c07939b41440e9cc13005b33b50005e5d64246f67564c36
- Size of remote file:
- 167 MB
- SHA256:
- 9385d03e9d01f52663ccfe865706149c7f5aacc072a849aba8bb84fc7c2a6449
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