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> 🌟 This LoRA in an upgrade from the original Dreambooth checkpoint
File size: 36.1MB vs 3.82GB
Text encoder trained on DeepBorru tags: https://danbooru.donmai.us/tags
Additional training input: dragons, tigers, landscapes, architecture, emotion, clothing - see gallery for prompt examples.
Trained using kohya-ss SD scripts.
Using the Additional Networks extension within Auto1111 is recommended as you can adjust UNet and Text Encoder weights independently.
Use any NAI or animation/cartoon type model trained with booru tagging:
Weight: 0.1 - 0.9
Clip Skip: 2
> 💥 VAE Check: Double check to make sure you're using the correct VAE per model. Having a VAE active (especially the correct one) will give you the best results.
The style can transfer as LoRA weights to other models. Below are a few that I used to generate the sample images.
Weight: 0.1 - 0.55
Upscaler: R-ESRGAN 4x+
Denoising strength: 0.5 - 0.63
This loRA was extensively tested with a large variety of img2img results. See various img2img samples in the Gallery.
Denoising Strength: 0.58
CFG: 8
Steps: 20
LoRA Weight: 0.7
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