Allows you to replace the hair style of a person in the first control image with the hair style depicted in the second control image while preserving the hair color of the original image.The second control image supports both pictures of a person and pictures of wigs.If the style being copied has a hat or other headwear, this will often be transferred as well, so if you do not want it transferred, I recommend first running it through an Image Edit model with a prompt like "remove the person's headwear" then using that output as your Control 2 image.For best results, use single-subject images and use images with comparable framing. If you are having hair color bleed from Control Image 2 onto the final image, you can suppress this with a short description of what you want, such as "long blonde twintails."<pre><code>change the hairstyle of the person in Image 1 with the hairstyle shown in Image 2
change the hairstyle of the man in Image 1 with the hairstyle shown in Image 2
change the hairstyle of the woman in Image 1 with the hairstyle shown in Image 2</code></pre>California AB 2013 Training Data Disclosure<ul><li>This LoRA was fine-tuned using visual data consisting of a mix between photographs and synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.</li><li>The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026. Non-synthetic images were collected from publicly accessible sources in 2026.</li><li>Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.</li><li>This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.</li></ul>

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