Instructions to use JujoHotaru/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JujoHotaru/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JujoHotaru/lora") 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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# アイコレクション (Eye collection)
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"Eye collection" is a series of LoRAs designed to reproduce various eye shapes without depending on data models.
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普通に適用して眼の形を変えられるほか、以下のような使い方を想定しています。
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- 複数種を同時適用して別の形にしてみる
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# アイコレクション (Eye collection) 第1弾
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"Eye collection" is a series of LoRAs designed to reproduce various eye shapes without depending on data models.
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[第2弾プレビューリリース](https://huggingface.co/JujoHotaru/lora/blob/main/eyecolle_preview/README.md)も公開中です。
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普通に適用して眼の形を変えられるほか、以下のような使い方を想定しています。
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- 複数種を同時適用して別の形にしてみる
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