UmaMusume

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Version Detail

SD 1.5
This is AIO LoRA of Uma Musumes. I recommend using a1111-sd-webui-lycoris extension on WebUI. All of my works is free. If you'd like to support me, feel free to buy me a coffee. NOTICE This is AIO LoRA of almost characters of Uma Musume : Pretty Derby. 106 characters in Uma Musume: Pretty Derby About 300+ costumes. For each character, average 2+ costumes. 8 official clothes for all characters. You can find all possible trigger words in here. Depending on model, Some characters are not able to generate. For example, Ikuno Dictus - Counterfeit V3.0 The LoRA is optimized for Hires.fix. Recommended options LoRA weight 0.7 Trigger words [character name] \(umamusume\) or [character name] For example, manhattan cafe \(umamusume\) hayakawa tazuna Settings Use a model derived from or mixed with animefull model. Stable Diffusion WebUI by Automatic1111 DPM++ Series(SDE Karras, 2M Karras, etc.) about 20 steps, CFG scale 3.5~6.5 kl-f8-anime2.vae CLIP skip = 1 or 2. Use whatever you want. Use Hires.fix to get higher quality image Upscaler Latent, Latent (nearest-exact), Latent (bicubic antialiased) or other Latent series. Denoising strength 0.50~0.65 Training Info trained on sd-scripts by kohya_ss and LyCORIS by KohakuBlueleaf Thank you all a lot! Base model : Animefull-pruned model Hardware : 1x A6000 GPU Training time : 22 hours Dataset : ULTIMA Dataset Resolution : 768x768 with aspect ratio bucketing Dim, Alpha : 64 Optimizer : lion8bit Steps : 20,210 Batch size : 16 Learning rate : warmup to 1e-4 for 1,010 steps and then kept constantLR scheduler LR scheduler is constant_with_warmup. other training settings is included in metadata of LoRA file. All uploaded images are generated by Counterfeit V3.0(huggingface, civitai).

Project Permissions

Model reprinted from : https://civitai.com/models/99510/umamusume-all-in-one-lora

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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