luxiaolili
luxiaolili
> Since you release training code, I really want to try finetune on my dataset but I cant understand how to prepare data you can prepare data follow https://github.com/luxiaolili/IDM-VTON-train/
> _No description provided._ blip2, llava GPT-4o,or other multimodel
> Thank you for your code. How do you get the agnostic-mask, I think it is an important factor for the result. you can see for data prepare https://github.com/luxiaolili/IDM-VTON-train/
I realize it using sdxl inpaint model need a conv layer to change the in_channel, the train code for it see https://github.com/luxiaolili/IDM-VTON-train/
> hello, in the inference code, the input channel need to be changed in 13? I donot see any code operation in the inferenc.py in the training script, unet.config['in_channels'] =...
the loss both l1 loss for noise, only change the data and descripe of the data, and cloth mask , I realize the code for train see https://github.com/luxiaolili/IDM-VTON-train/