Instructions to use GraydientPlatformAPI/bigasp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigasp2 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/bigasp2", 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:
- dcea63cc7946dcb842f6e10e0822cf4d27c324136c23ab850606d82b05a37d47
- Size of remote file:
- 5.14 GB
- SHA256:
- a9f0f7dc75b6d1d98bed6b8f1977e877fa3296f5dc8f0b2d221098dcab41238b
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