<h2><strong>LoRA Kimono for WD 1.5 Beta 2 Aesthetic</strong></h2><p>This is LoRA that draws beautiful kimono and yukata designs.</p><h3>Usage</h3><ul><li><p>Use the AUTOMATIC1111's [stable-diffusion-webui](<a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui.git">https://github.com/AUTOMATIC1111/stable-diffusion-webui.git</a>).</p></li><li><p>Install the latest version of the [sd-webui-additional-networks](<a target="_blank" rel="ugc" href="https://github.com/kohya-ss/sd-webui-additional-networks.git">https://github.com/kohya-ss/sd-webui-additional-networks.git</a>) extension from its URL in the "Extensions" tab on the Web UI.</p></li><li><p>Copy the LoRA file to the "stable-diffusion-webui/extensions/sd-webui-additional-networks/models/lora" folder.</p></li><li><p>Select the LoRA file and click "Send to * number" in the "Additional Networks" tab on the Web UI.</p></li><li><p>Enable the "Additional Networks" option in the "txt2img" or "img2img" tab and adjust the weight.</p></li><li><p>Select the [wd-1-5-beta2-aesthetic-fp16.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/waifu-diffusion/wd-1-5-beta2">https://huggingface.co/waifu-diffusion/wd-1-5-beta2</a>) as Stable Diffusion checkpoint.</p></li></ul><p></p><h3>Example prompt</h3><ul><li><p>kimono, yukata clothing, traditional geisha clothing, red kimono with flower patterns, classy yukata clothing, skilled geisha, female geisha girl, traditional colors, elegant girl, geisha, geisha photo portrait, highly detailed kimono, upper body portrait, smile, (anime:1.2), (waifu, best aesthetic, new, newest, best quality, masterpiece, extremely detailed:1.2)</p></li></ul><h3>License</h3><ul><li><p>LoRA Kimono under the Fair AI Public License 1.0-SD (<a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">https://freedevproject.org/faipl-1.0-sd/</a>). If any derivative of this model is made, please share your changes accordingly.</p></li></ul>

LoRA Kimono for WD 1.5 Beta 2 Aesthetic

<p>Increased dim to 16 and trained using bucket</p>

Files with SHA256: 8b73a189b634701a5c6cb04e739d85054edbb4713bf292eb6499f68dcf957a15