Instructions to use bortch89/jsn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bortch89/jsn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bortch89/jsn", dtype=torch.bfloat16, device_map="cuda") prompt = "jsn369420yo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f3f1c7afe03e99536f1efec2cef0054973df906453096a9497a9cfe2bbb51f7
- Size of remote file:
- 1.36 GB
- SHA256:
- d53f7f7a9398e8bc293317056a79d244116b393dc12e841118768465a43f4d4f
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