Samaneh Azadi

I think the issue is due to a wrong batch size specified here https://github.com/azadis/MC-GAN/blob/master/scripts/train_StackGAN.sh#L37 This batch size should be equal to the number of letters of your input $DATA. For...

Sorry for the confusion. For BLOOD, I think you should set your batch size to 4. This will be the number of unique given letters. I don't think there is...

I think your issue is with the running path or data path. You are probably either running the code from a wrong path (do you run ```bash ./scripts/train_StackGAN.sh BLOOD``` ?)...

The ```datasets``` directory containing the font files should not be under MC-GAN! Your current font files path is not correct. You should be able to do the following: ```cd path_to_MC-GAN```...

Issues should be resolved now in #7 . Also, make sure you start the visdom server in a separate screen: ```python -m visdom.server -p 8775```

you should be able to run it with cpu if you make the following changes to the bash script. In https://github.com/YuSuen/MC-GAN/blob/master/scripts/train_StackGAN.sh#L68, erase ```CUDA_VISIBLE_DEVICES=${CUDA_ID}``` part and add ```--gpu_ids '' ``` in...

yes, please consider my latest commit with a change in the following line: https://github.com/azadis/MC-GAN/blob/master/options/base_options.py#L78

Sorry, fixed now! for running with cpu you should make the following changes to the bash script. In https://github.com/YuSuen/MC-GAN/blob/master/scripts/train_StackGAN.sh#L68, erase ```CUDA_VISIBLE_DEVICES=${CUDA_ID}``` part and add ```--gpu_ids ' '``` in the end.

It should support but I have not tried it myself.

That should be enough. Do you have a batch size larger than 150?