Lora trained on 223 images of Yaoyao
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Prompts:
yaoyaodef, yaoyaornd,
Trained on NAI, gen'd on AOM2 hard
Description
FAQ
Comments (6)
This works great! May I ask you some questions about LoRA? I'm a LoRA newbie trying to create Yaoyao LoRA for a week but failed miserably
Sure?
@Numeratic 1. Did you preprocess the images so that the backgrounds are pure white/black? 2. What's your distribution of dataset? Mine is 50% in-game model screenshot and 50% from Pixiv, 45 pics in total; 3. Did you exclude Yuegui (the rabbit creature) from the dataset to exclude noise? 4. Do you mind sharing me your dataset in some way? As long as I get a working dataset then I can learn tuning the parameters first. If not it's okay, I understand.
Trained a LoRA pretty close yesterday, but still missing bells and costume details :(
@53rdturtle i dont mess with the image backgrounds.
My dataset was just grabbed from gelbooru and separated into 2 folders default outfit folder and random / nsfw folder for flexibility. I dont think any ingame screenshots were used.
Uh i did not exclude the creature it should be able to gen it if prompted id assume.
The image count used was 223 images or so
I think it was around 4 repeats
@Numeratic Thank you! Some more questions: 1. Did you trim the tags such as character-specific features? 2. What do 4 repeats mean? Is it the 'x' on the image folder name 'x_yaoyao'? Also how many epochs do you use? These numbers are pretty confusing and there are no consistent standards in tutorials
ngl, I love how you given us the option of yaoyaornd. I can customize yaoyao to wear whatever I want
Details
Files
yaoyao2-000008.safetensors
Mirrors
yaoyaoGenshinImpact_v10.safetensors
yaoyaogenshinimpact_v10.safetensors
yaoyao2-000008.safetensors
yaoyaoGenshinImpact_v10.safetensors
yaoyao_Numeratic.safetensors
yaoyaoGenshinImpact_v10.safetensors
yaoyaoGenshinImpact_v10.safetensors
yaoyao2-000008.safetensors
yaoyao2-000008.safetensors
yaoyao2-000008.safetensors
yaoyao_Numeratic.safetensors
yaoyao2-000008.safetensors
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.


