Instructions to use GraydientPlatformAPI/obsessionIllustriousv30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/obsessionIllustriousv30 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/obsessionIllustriousv30", 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:
- 9960b3d4ec0eb899d4b01d4427d839e627ed0676d0f32776132761a9596c1c55
- Size of remote file:
- 5.14 GB
- SHA256:
- fb8f79c943c73ca40535cc9550e23cfe0c4534e81a51bd783dc84c88fb0ade07
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