Instructions to use GraydientPlatformAPI/bimboengine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bimboengine 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/bimboengine", 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:
- 16e2c19d0b859b2112051f4028b16a3f386f486d6e5c25b387828962d1902890
- Size of remote file:
- 167 MB
- SHA256:
- 5487ba18b9eec21094fbb6c340966ab9f827531fc1dc9311f3fcf52f3c8db9fc
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