
LoRA of Admire Vega (umamusume). Put LoRA file in your stable-diffusion-webui/models/lora folder and write LoRA notation in prompt to applying LoRA. <lora:your_loha_name:weight>
All of my works is free. If you'd like to support me, feel free to buy me a coffee. ?
Recommend options
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LoRA weight 0.7~1.0
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Trigger words
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base
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admire vega \(umamusume\)
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Racing competition clothes :
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white necktie, skirt, long sleeves, white footwear, thigh strap, black pantyhose, boots, shirt, puffy sleeves, pleated skirt, buttons, corset, capelet, fingerless gloves, black gloves, mismatched footwear
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(optional) skirt -> white skirt,
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Tracen school uniform :
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tracen school uniform, purple shirt, white skirt, puffy short sleeves, sailor collar, bowtie, pleated skirt, sailor shirt, miniskirt, zettai ryouiki, white thighhighs
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Casual clothes:
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pants, long sleeves, blue sweater, turtleneck sweater, ribbed sweater, jeans, jewelry, casual, necklace
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(optional) object hug, pillow, bed sheet
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Use animefull based model
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Settings
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DPM++ Series(SDE Karras, 2M Karras, etc.)
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about 20 steps, CFG scale 3.5~6.5
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kl-f8-anime2.vae
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CLIP skip = 1
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If using highres
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Latent series
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Denoising strength 0.50~0.65
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LoRA training info
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trained on sd-scripts by kohya_ss. Thank you a lot!
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based on Animefull-pruned
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154 images of fine motion
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4x low quality 46 images
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8x medium quality 53 images
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16x high quality 55 images
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=> 1 epoch = 1488 images
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replaced character feature tags with admire vega \(umamusume\)
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horse girl, horse tail, brown hair, purple eyes, etc.
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using aspect ratio bucketing
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resolution : 768x768
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rank=alpha=16
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using dadaptation
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batch size = 4, 7 epochs trained
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clip skip = 1
This LoRA may be compatible with animefull-based models (ex. AbyssOrangeMix Series...)
All uploaded images are generated by AOM3A1
描述:
first version
训练词语: admire vega \(umamusume\)
名称: admire_vega_lora-000007.safetensors
大小 (KB): 18560
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
名称: img.zip
大小 (KB): 539578
类型: Training Data
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success