Instructions to use GraydientPlatformAPI/ogfusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ogfusion 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/ogfusion", 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:
- 981b171e98768451a3ffa82bb35fe824969cee8b925897bb07d3cdd81bc3dbf8
- Size of remote file:
- 5.14 GB
- SHA256:
- a55bf9e4fc501c8578e3eb7bc90851b415655e261f23f6c81fd0cf16fcee1454
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