No trigger or phrase needed. Use with a positive weight of 0.5-1.5.
This lora is an experiment to fix the "same face" issue that some lora models seem to have. This model was trained on 1,000 images of 1,000 different people, both men and women. Please let me know your experiences, positive or negative. As I said, this is experimental and there is no guarantee that it will work. I will use your feedback to train a v2 or chain the training methods if necessary.
Description
FAQ
Comments (7)
Awesome. I think many lora models have introduced same face syndrome because they use AI generated images from Illustrious/SDXL/PNY/NoobAI and so on instead of using actual people from like stock images and such. WAN22 by itself has varied faces but the moment you introduce some loras that facial variety collapses and low and behold the ol' same face from SDXL reappears or one that looks VERY close.
One work around I've discovered is to use Res5s with linear quadratic and suddenly I'm getting different faces. Even in illustrious and noobAI. SDXL and Pony I don't use anymore since nothing seems to solve the same face syndrome there. Even loras don't work half the time. So I can't comment on how well it'll work with those models. But linear quadratic (It can be difficult to use) with a Res5s (3s works too, 2s has less impact but 3s and above work well) sampler seems to actually make faces that have unique features.
It takes some trial and error to get linear quadratic to function without it falling a part but if you can get it working you'll see that prompt adherence is better too.
It has to be used with a positive weight, right? The SDXL 'sameface' LoRA i've been using needs to be set to neg
Hi, thanks for making this Lora, could give an example of how you'd use it in the general description section? Thanks again
Thanks alot! with that large training set this sure should fix it
Could someone kindly explain to me better what this Lora is supposed to do, because I'm struggling to understand it?
If you didn't clearly caption each different person with some unique trigger, I doubt it will make more different faces, it will most likely create a blend of all those face and create another unique one, didn't tested yet, but seeing your demo images already confirm my bias
For the men, were any of them younger and pretty? There seems to be a bias on this site toward old or homely men.
Details
Files
Wan2.2 - T2V - Same Face Fix v2- LOW 14B.safetensors
Mirrors
Wan2.2 - T2V - Same Face Fix v2- LOW 14B.safetensors
Wan2.2%20-%20T2V%20-%20Same%20Face%20Fix%20v2-%20LOW%2014B.safetensors
Wan2.2 - T2V - Same Face Fix v2- LOW 14B.safetensors
Wan2.2-T2V-SameFaceFixv2-LOW14B.safetensors
Wan2.2_-_T2V_-_Same_Face_Fix_v2-_LOW_14B.safetensors
Wan2.2 - T2V - Same Face Fix v2- LOW 14B.safetensors
Wan2.2 - T2V - Same Face Fix v2- LOW 14B.safetensors
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