Comments (4)
Janspiry
commented on July 20, 2024
Hi, "train|val" means editing directory of train and val simultaneously.
from image-super-resolution-via-iterative-refinement.
AbuOmair1012
commented on July 20, 2024
Thank you, it worked, but I have a question.
What do those mean?
"sampling loop time step: 100% 2000/2000"
It's looping and I don't know how many times it should loop
from image-super-resolution-via-iterative-refinement.
Janspiry
commented on July 20, 2024
Every 2000 steps will generate a super-solution image, and you can stop it after every loop.
from image-super-resolution-via-iterative-refinement.
AbuOmair1012
commented on July 20, 2024
Thank you very much 🌹
from image-super-resolution-via-iterative-refinement.
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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