Instructions to use ShoukanLabs/OpenNiji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShoukanLabs/OpenNiji with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShoukanLabs/OpenNiji", 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:
- ea48366210e67d9e72fc23d10c0c4e97dec50855a19bb8ed2c185309d624519f
- Size of remote file:
- 2.13 GB
- SHA256:
- 52ef271ef3d807091046cc3853081bf615a58b69b7f091b6c63c2588ea67232c
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