<a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/LyCORIS">LoHa</a> of Light Hello (umamusume). Put LoHa file in your stable-diffusion-webui/models/lora folder and write LoRA notation in prompt to applying LoHa. &lt;lora:your_loha_name:weight&gt;All of my works is free. If you'd like to support me, feel free to <a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/mhtLoRA">buy me a coffee</a>. 👍NOTICE<ul><li>After careful consideration, I decided not to produce LoRA of the characters below.<ul><li><a target="_blank" rel="ugc" href="https://umamusume.fandom.com/wiki/Etsuko_Otonashi">Otonashi Etsuko</a>, <a target="_blank" rel="ugc" href="https://umamusume.fandom.com/wiki/Misato_Akasaka">Akasaka Misato</a>, <a target="_blank" rel="ugc" href="https://umamusume.fandom.com/wiki/Junko_Hosoe">Hosoe Junko</a></li></ul></li><li>If anyone wants the characters above, I will consider making them.</li><li>Except for the above, I will make the rest of the characters in Umamusume: Pretty Derby, unless there is a special notice.</li></ul>Recommended options<ul><li>LoRA weight around 0.7</li><li>Trigger words<ul><li>Base<ul><li>light hello \(umamusume\)</li></ul></li><li>Casual :<ul><li>casual, hair ornament, hairclip, necklace, jewelry, blue shirt, long sleeves, shirt tucked in, belt, white skirt, blue footwear, high heels</li></ul></li></ul></li></ul>Use a model derived from or mixed with <a target="_blank" rel="ugc" href="https://huggingface.co/a1079602570/animefull-final-pruned/blob/main/model-001.ckpt">animefull model</a>.<ul><li>Settings<ul><li><a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">Stable Diffusion WebUI by Automatic1111</a></li><li>DPM++ Series(SDE Karras, 2M Karras, etc.)</li><li>about 20 steps, CFG scale 3.5~6.5</li><li>I recommend <a target="_blank" rel="ugc" href="https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt">kl-f8-anime2.vae</a></li><li>CLIP skip = 1</li><li>Use Hires.fix to get higher quality image<ul><li>Upscaler<ul><li>Latent, Latent (nearest-exact), Latent (bicubic antialiased) or other Latent series.</li></ul></li><li>Denoising strength 0.50~0.65</li></ul></li></ul></li></ul>LoRA training info<ul><li>trained on <a target="_blank" rel="ugc" href="https://github.com/kohya-ss/sd-scripts">sd-scripts by kohya_ss</a>.<ul><li><a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/LyCORIS">LyCORIS by KohakuBlueleaf</a></li><li>Thank you all a lot!</li></ul></li><li>based on <a target="_blank" rel="ugc" href="https://huggingface.co/a1079602570/animefull-final-pruned/blob/main/model-001.ckpt">Animefull-pruned model</a></li><li>75 images consist of<ul><li>4x low quality 30 images</li><li>8x medium quality 28 images</li><li>16x high quality 17 images</li><li>=&gt; 1 epoch = 616 images</li></ul></li><li>replaced character feature tags with light hello \(umamusume\)<ul><li>1girl, brown hair, horse girl, short hair, red eyes, brown eyes, horse tail, solo, long hair, animal ears, alternate costume, purple eyes, bangs, horse ears, braid, simple background, medium hair, pink eyes, hair intakes, half updo, black hair</li><li>I think these tags are the essentials of Light Hello or</li><li>unnecessary for training because of duplication.</li></ul></li><li>resolution : 768x768 with aspect ratio bucketing.</li><li>other training settings is included in training data or metadata of LoRA file.</li></ul>All uploaded images are generated by <a target="_blank" rel="ugc" href="https://huggingface.co/WarriorMama777/OrangeMixs/tree/main/Models/AbyssOrangeMix3">AOM3A1</a>And, special thanks to my best friend. DH.

Light Hello (umamusume)

<a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/LyCORIS">LoHa</a> of Light Hello (umamusume). Please install <a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/a1111-sd-webui-locon">extension </a>on WebUI.After installing extension, put LoHa file in your sd/models/lora folder and write LoRA notation in prompt to applying LoHa. &lt;lora:your_loha_name:weight&gt;

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