"pipe:ssh -i ~/.ssh/id_rsa [email protected] 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 [email protected] 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.