Open A-new-b opened 4 months ago
The general instruction-tuned model seed-x-i had the ability to handle multi-images input.
For the editing model seed-x-edit, since only single image is used for training, it does not support multi-image inference.
For the attachd image, seed-x-tryon is used for inference, which is not released yet.
Hi ! Thanks to your great work ! Can I implement my own try-on data pipelines to finetune seed-i to get a customized seed-x-tryon model ? If I can, how many data and computing resources do I need to finetune ? Thank you !
Hi ! Thanks to your great work ! Can I implement my own try-on data pipelines to finetune seed-i to get a customized seed-x-tryon model ? If I can, how many data and computing resources do I need to finetune ? Thank you ! +1 (really appreciate this wonderful work!)
I thought that the seed-x model had the ability to handle multi-images input from this picture. But I only found single image input from src/inference/eval_img2edit_seed_x_edit.py. So how did you inference this?