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", 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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## ダウンロード (Download)
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- [Ver2.00 (gekioko_v200.safetensors)](https://huggingface.co/JujoHotaru/lora/resolve/main/
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出力結果に差があるため、旧バージョンも配布しています。モデルとの相性など変化を付けたい場合は使い分けてみてください。
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Since there are some differences in output results, older version is also distributed.
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## ダウンロード (Download)
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- [Ver2.00 (gekioko_v200.safetensors)](https://huggingface.co/JujoHotaru/lora/resolve/main/gekioko_v200.safetensors)
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出力結果に差があるため、旧バージョンも配布しています。モデルとの相性など変化を付けたい場合は使い分けてみてください。
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Since there are some differences in output results, older version is also distributed.
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