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
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README.md
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# Announcements:
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- OpenNiji-V2 is [Out Now!](https://huggingface.co/Korakoe/OpenNiji-V2)
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## Changelog
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- Added LoRA version of finetune, you should now be able to use OpenNiji on any model!
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# Announcements:
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- OpenNiji-V2 is [Out Now!](https://huggingface.co/Korakoe/OpenNiji-V2)
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- V3 of the dataset released [Here](https://huggingface.co/datasets/ShoukanLabs/OpenNiji-Dataset)
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- - This is **NOT** the dataset we trained on, however, it still includes those images, and is overall a higher quality dataset thanks to NijiJourney V5!
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## Changelog
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- Added LoRA version of finetune, you should now be able to use OpenNiji on any model!
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