Comments (6)
MazeOfEncryption
commented on August 20, 2024
3
Hi! I wrote a colab notebook for upscaling 64x64 pixel images to 512x512.
Does this help?
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Janspiry
commented on August 20, 2024
Sorry, there is not enough time for me to do this in the short term.
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johnnyjmcivorv
commented on August 20, 2024
Hi! I wrote a colab notebook for upscaling 64x64 pixel images to 512x512.
Does this help?
for some reason i cannot find the output image in the results. it's under content right?
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MazeOfEncryption
commented on August 20, 2024
Should be under /content/Image-Super-Resolution-via-Iterative-Refinement/experiments/<some folder>/results
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johnnyjmcivorv
commented on August 20, 2024
Should be under
/content/Image-Super-Resolution-via-Iterative-Refinement/experiments/<some folder>/results
Yeah the results are blank
Didn't give me any errors though
from image-super-resolution-via-iterative-refinement.
MazeOfEncryption
commented on August 20, 2024
Should be under
/content/Image-Super-Resolution-via-Iterative-Refinement/experiments/<some folder>/resultsYeah the results are blank
Didn't give me any errors though
Hmm, that's weird. Could you share the output logs?
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Related Issues (20)
- FileNotFoundError: [Errno 2] No such file or directory: 'config/sr_sr3.json'
- Unet Input question?
- About the code
- How to speed up Training?
- Using latest faster samplers such as DPM++2M / DPM++3M
- Output shape should be same as the input shape in conditional image generation HOT 1
- About model convergence
- in test phase, it doesn't load the trained net models and states HOT 1
- Could you explain the q_sample ? HOT 2
- Question of pretrained model HOT 1
- Using pretrained model
- A little question about val.py HOT 6
- prepare_data TypeError: cannot pickle 'Environment' object HOT 1
- Question about your inference code
- About "finetune_norm" HOT 1
- Distributed Training
- What is requirement to run this project?
- Why is there 1 more res block in up module than in down's?
- val.log中的PSNR值时高时低？
- 通过prepare.py得到的HR会极大地压缩质量？ HOT 2
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