Instructions to use JosephusCheung/ACertainThing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JosephusCheung/ACertainThing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JosephusCheung/ACertainThing", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1efd3d9a5bae4b273319d0c46853f9d6005a2ba14e82f2a0a23414555d7c85b1
- Size of remote file:
- 2.3 MB
- SHA256:
- b9af68d224258d9ef88f2a7909aca2534428f33b732641ddf47447e3d2976445
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