Born out of frustration of how nano-banana and kontext max handled asymmetrical characters when putting them in an "a-pose", I went ahead and trained a Kontext LoRA that can bring characters from multiple different poses to an a-pose. This was trained from actual 3D renderings all from mihoyo on blender with dataset consisting of multiple characters each having multiple different unique poses taken from frames of Mikumikudance motions and the default a-pose. From testing, this seems to handle asymmetrical character's clothing colors much better than nano-banana.
Note: The character that nano-banana performed bad on was the asymmetrically colored summer outfit yuzuha \(zenless zone zero\) in which even fed front facing image, ended up making both sides mirrored instead of asymmetrical as designed.
This LoRA is not meant to compete with the RefControl LoRA as this one was trained on real blender renderings instead of people. This can in fact complement that LoRA by being a preprocessing step to that LoRA
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this is very useful, can you make one that generates two sides of the A pose? (front side and right side)
please for qwen edit image... licence is free :D
Would you consider sharing your dataset either as a zip or on something like huggingface? it would be interesting to experiment with training other models with this.
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Same model published on other platforms. May have additional downloads or version variants.



