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:
- a40ab4182d24c8d0eb01badc1fe018be172616f37ff9e74ac555f5272e05c9ba
- Size of remote file:
- 2.33 MB
- SHA256:
- d09629c8e783ab84f14512f3e35f9c33b95b1aaa8c8d93e5f8e0e7f43f5682dd
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