Closed lcipolina closed 2 years ago
See;
We haven't trained an upsampler for higher resolutions. You can't just change the code and load the old upsampler model--it won't work because it was trained for 256x256. People on Twitter have been using third-party upsamplers / image super resolution models.
Thank you. I saw indeed your reply before. I thought you were talking about upsamplers.
What I want to confirm is: there is no way to avoid downsizing to 64X64? (and use say 128x128) upsampling from there is easy.. the problem is the downsampling to such a small resolution.
I thought you were talking about upsamplers.
True.
What I want to confirm is: there is no way to avoid downsizing to 64X64?
I don't think there is a trick get higher resolution outputs without upsampling.
As I understand it, the model was trained at 64x64 resolution, so the only ways to get higher resolution outputs would be:
I don't think t
Thank you so much for your prompt and detailed reply.
I will close the issue now.
Thanks!
Hello, thank you for this model!
I have been wondering how to get better resolution on the outputs for inpainting. I believe that the main issue is the downsizing of the input image to 64X64, which loses a lot of resolution. Then, the upsampling can only be done up to 256x256 (more will create artifacts).
I have tried to replace the 64X64 to something like 128X128 (which then will make it easier to upsample to 512X512) but got the below error.
Is there a way to improve the output resolution of the inpainting model? In particular, to test my hypothesis that the low resolution is due to the downsampling - fill in - upsampling low resolutions?
This is the error I am getting when replacing 64X64 -> 128x128 on the Colab:
Thanks!