Giovanni Ficarra
Giovanni Ficarra
Hi @roimulia2, yes, the link of the pre-trained LDM for super-resolution is this one: [https://ommer-lab.com/files/latent-diffusion/sr_bsr.zip](https://ommer-lab.com/files/latent-diffusion/sr_bsr.zip). You can find it in this table in the readme, looking for the task "Super-resolution":...
@roimulia2 in the ["Inpainting" section of the readme](https://github.com/CompVis/latent-diffusion#inpainting) they provide a command and the link for the pretrained models for inpainting too.
@IceClear Hi, I'm in your same situation, unluckily
Hi @NguyenVanThanhHust, @khoindm, I'd need the pretrained weights as well. Thank you in advance.
Hi @ChenFengYe, could you please provide the checkpoint of MLD pre-trained on KIT? I would need it as well. Thank you very much in advance.
I'll try, thank you very much.
Hi again, do you have any advice on how to select the exemplars? In particular, have you ever tried with very crowded images, where the objects are mostly superimposed (i.e.,...
@ketul93 Yes, I managed to use external exemplars, you can find the details in [this PR](https://github.com/Verg-Avesta/CounTR/pull/21). So pull the updated code and run the inference with the `--external` parameter. Based...
Hi @israel-cj, I just made a new pull request #39 with a new file with examples of the main commands to train and test CounTR (https://github.com/GioFic95/CounTR/blob/main/run_minimal.MD). Moreover, I uploaded here...
@israel-cj you're welcome! The weights are the same provided by the authors (@Verg-Avesta). I Included that file in my zip just to provide the same folder structure I used, so...