"pipe:ssh -i ~/.ssh/id_rsa jpinkney@104.171.201.154 cat /mnt/data_rome/laion/improved_aesthetics_6plus/ims"

[Xuzhenhao186]

@justinpinkney hello, excuse me, the first question is:1. for the command:"pipe:ssh -i ~/.ssh/id_rsa jpinkney@104.171.201.154 cat /mnt/data_rome/laion/improved_aesthetics_6plus/ims",why the tar_base can't be visited and the dataset can't be visited.Do I need download the dataset to local? the second question is : 2.I want to finetune image variation,I want to use my own data,but when I refer to your code,the sd-image-condition-attn-finetune.yaml is : data: target: main.DataModuleFromConfig params: batch_size: 4 num_workers: 2 num_val_workers: 0 train: target: ldm.data.simple.FolderData params: root_dir: /data/xuzhenhao/ControlNet1/training/texture ext: jpg image_transforms:

• target: torchvision.transforms.Resize params: size: 256 interpolation: 3
• target: torchvision.transforms.RandomCrop params: size: 256 validation: target: ldm.data.simple.FolderData params: root_dir: /data/xuzhenhao/ControlNet1/training/texture ext: jpg image_transforms:
• target: torchvision.transforms.Resize params: size: 256 interpolation: 3
• target: torchvision.transforms.CenterCrop params: size: 256 however,I find that in the FolderData class,why only have a data["image"],I think training need two image condition,one for clip encoder,one for noise and groundtruth, and why need data["txt"],Why need text for image variation? I sincerely thank you，hope a detailed answer.