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:
- ee44a379b7d8f9dc09b0c29c6b882136560c803d2356291c82d2d5d2379bc73e
- Size of remote file:
- 246 MB
- SHA256:
- b6addb6a131b255808ec16b68f1a2baa0ddcdfd4c65bab6651045058af240a70
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