Comments (2)
Hi. Sry that I do not quite get your question here. The images you get are already 4x upsampled because our model takes the LR images with the same resolution as the output. You may check the LR images in our test set for reference on the huggingface. The link is provided in the readme. You can also check the data generation details in this repo. It is almost the same as RealESRGAN.
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Thank you for your response. I suspect that the low number of samples in my generated dataset, which is only 1000, might be affecting the FID value. I appreciate the dataset you provided on Huggingface, and I will try it as soon as possible.
Additionally, I would like to ask if it is necessary to ensure that the test dataset has more than 3000 samples to obtain a stable FID.
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Related Issues (20)
- SD-Turbo HOT 3
- Training dataset question (whether crop small patches) HOT 4
- The effect of using display pictures is very poor HOT 4
- How to train StableSR with SD-turbo? HOT 1
- It seems to be a val_dataloader issue HOT 1
- Reporting an Issue with Google Colab Demo HOT 1
- Is there any implementation StableSR in diffusers? HOT 1
- Can I run the StableSR without CFW? HOT 3
- about size match of tensor HOT 4
- Share finding for compression experiment HOT 3
- Test output is black HOT 2
- ConnectionResetError:[Error 104] Connection reset by peer HOT 1
- Is time-aware guidance really important?
- Is vqgan_finetune_00011.ckpt the same as vqgan_cfw_00011.ckpt?
- Is it possible to set the output size to 256*256 HOT 1
- Any documentation on how to finetune/train on custom pair dataset?
- 使用自带的素材测试,效果没有演示的惊艳
- Restored from models/v2-1_512-ema-pruned.ckpt with 0 missing and 1242 unexpected keys HOT 3
- Apply to other tasks?
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