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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Browse files
sdxl/sensualface/README.md
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@@ -28,12 +28,12 @@ Two types are available:
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LoRAを有効にするだけで発動します。
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表情の強さをLoRA適用強度である程度調整(1.0~1.5程度)することができます。
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`gasping`や`
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Type1とType2を両方適用すると、両者の中間のような形の眼にすることもできます。
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It works by simply enabling LoRA. No extra prompts are necessary.
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Strength of impression can be controlled by LoRA weight to some extent (approx. 1.0 - 1.5).
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Expression prompts like `gasping`, `
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By applying both Type 1 and Type 2, it is possible to reproduce intermediate eye shape between the two.
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---
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LoRAを有効にするだけで発動します。
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表情の強さをLoRA適用強度である程度調整(1.0~1.5程度)することができます。
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`gasping, ecstasy`や、`ashamed, upset`、または`seductive smile`などの感情的な表情を再現するプロンプトを追加すると効果が高まりますが、必ずしも必要ではなく、他のさまざまな感情プロンプトと組み合わせて使うこともできます。
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Type1とType2を両方適用すると、両者の中間のような形の眼にすることもできます。
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It works by simply enabling LoRA. No extra prompts are necessary.
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Strength of impression can be controlled by LoRA weight to some extent (approx. 1.0 - 1.5).
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Expression prompts like `gasping, ecstasy`, `ashamed, upset`, `seductive smile` will make better result, but not necessarily required. It can be used with other various facial expression prompts.
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By applying both Type 1 and Type 2, it is possible to reproduce intermediate eye shape between the two.
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