Instructions to use GraydientPlatformAPI/bigasp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigasp 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/bigasp", 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:
- 8584c001b25036b97699e419578d87ca980647864d89c2ce21de5890889cd0be
- Size of remote file:
- 5.14 GB
- SHA256:
- bc108c29284ef480859d2d5bdc726e105a9d462b61f0b373f4755c805aefd910
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