The 'ref-in' parameter is indeed mandatory.

[notiqq]

Hello,

I was following guideline on how to use DDPM model on the VITON-HD dataset.

Once I have reached the following command:

mkdir -p ~/inferences
cd ~/joliGEN/scripts
python3 gen_single_image_diffusion.py \
     --model-in-file ~/checkpoints/VITON-HD/latest_net_G_A.pth \
     --img-in ~/datasets/VITON-HD/testA/imgs/00006_00.jpg \
     --mask-in ~/datasets/VITON-HD/testA/mask/00006_00.png \
     --dir-out ~/inferences \
     --nb_samples 4 \
     --img-width 256 \
     --img-height 256

 I got the following exception that ref variable is used before actually being defined. I have checked the code and the issue happens here (method called generate ) 

    if ref_in:
      ref = cv2.imread(ref_in)
      ref_orig = ref.copy()
      ref = cv2.cvtColor(ref, cv2.COLOR_BGR2RGB)

      the issue is that ref_in is None and ref is not actually gets defined. 

      I have checked the main and there is the following piece of code:

              options.parser.add_argument(
        "--ref-in", help="image used as reference", required=False
    )

It looks like it should not be required, but without passing --ref-in param into initial command it does not work properly.

[beniz]

Hi @notiqq of course you need to pass the reference image, see https://github.com/jolibrain/joliGEN/issues/576#issuecomment-1790656868 and https://github.com/jolibrain/joliGEN/issues/568#issuecomment-1769252307

Have you found an error in the documentation ? Let us know.

[notiqq]

Yes, it looks like documentation is outdated. It does not contain information that we need to pass it.

[beniz]

Ah that's normal in practice, this is the tutorial on training without reference image, we may want to replace it indeed, or to improve it by adding the training/inference with reference image here as well.