Instructions to use GraydientPlatformAPI/bigasp2lustify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigasp2lustify 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/bigasp2lustify", 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:
- 4bb94b0f631bcd164957505c667db660bc4a6498e418f32ff098d74dc62a8c37
- Size of remote file:
- 246 MB
- SHA256:
- 15f34d556593860486bef1d259bb3d508b0731d55545fda7b4b748b2268349ec
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