<a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/LyCORIS">LoHa</a> of Wonder Acute (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>. 👍Recommend options<ul><li>LoRA weight 0.7~0.9</li><li>Trigger words<ul><li>base<ul><li>wonder acute \(umamusume\)</li></ul></li><li>Racing competition costume :<ul><li>choker, black gloves, fingerless gloves, detached sleeves, puffy long sleeves, frilled sleeves, pink dress, frills, pink jacket, striped skirt, black pantyhose, brown footwear, knee boots, high heel boots</li></ul></li><li>Casual clothes :<ul><li>casual, white shirt, necklace, long sleeves, white shirt, white sweater, belt, green skirt, plaid skirt, long skirt, black pantyhose, shoes, sneakers,</li><li>(optional) cup, holding cup, green tea</li></ul></li><li>Gaze on me :<ul><li>(white shirt:1.2), off-shoulder shirt, tied shirt, short sleeves, midriff, scrunchie, pink shorts, swim trunk</li><li>(optional) on stage, concert</li></ul></li><li>Tracen school uniform(summer) :<ul><li>tracen school uniform, purple shirt, pleated skirt, puffy short sleeves, white skirt, puffy sleeves, summer uniform, frilled skirt, sailor collar, sailor shirt, miniskirt, frills, white thighhighs</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/AIARTCHAN/aichan_blend/blob/main/vae/BerrysMix.vae.safetensors">kl-f8-anime2.vae</a></li><li>CLIP skip = 1</li><li>Use Hires.fix to get higher quality image<ul><li>Up-scaler<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>54 images of wonder acute<ul><li>4x low quality 20 images</li><li>8x medium quality 15 images</li><li>16x high quality 19 images</li><li>=&gt; 1 epoch = 504 images</li></ul></li><li>replaced character feature tags with wonder acute \(umamusume\)<ul><li>1girl, horse tail, tail, grey hair, horse girl, brown hair, bangs, multicolored hair, green eyes, blue eyes, solo, streaked hair, simple background, very long hair, two-tone hair, animal ears, horse ears, long hair, white hair, hair between eyes, thick eyebrows</li><li>I think these tags are<ul><li>the essentials of wonder acute</li><li>or unnecessary for training because of duplication.</li></ul></li></ul></li><li>resolution : 768x768 with aspect ratio bucketing.</li><li>other training settings is included in training_data.zip or metadata in LoRA file.</li></ul>All uploaded images are generated by <a target="_blank" rel="ugc" href="https://huggingface.co/WarriorMama777/OrangeMixs/blob/main/Models/AbyssOrangeMix3/AOM3A1.safetensors">AOM3A1</a>And, special thanks to my best friend. DH.

Wonder Acute (umamusume)

LoHa version. Please install <a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/a1111-sd-webui-locon">extension </a>on WebUI.

Files with SHA256: 0ec33904ea52939a4f4ccb1c70f3267774dc3d3ba4e95488c9c8875ce750d84f