Instructions to use GraydientPlatformAPI/waic2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/waic2 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/waic2", 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:
- 68bc0feeaef035993768ea4699afe26c95bd239da0dabc967e73d2513dfa1056
- Size of remote file:
- 1.39 GB
- SHA256:
- deb8cd9cce94236422529fcc495320762b25702221d4e6cb1b3047f6156e9790
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