StableSR
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IceClear
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
I am reaching out to share our recent intriguing findings from a compression experiment. Our results demonstrate a significant reduction in model size without compromising quality. Briefly, we discovered that...
First of all, thank you for your amazing open source project I used the following image as my low resolution input, with width and height of 512 and 768 respectively:...
Thanks for your nice work! Now my super-resolution model is trained successfully. However, in my case, I don't need the 2nd stage CFW. I wonder if I could use the...
Is there anyone know how to use stablesr with diffusers? I think this will be handy to use it with diffusers features such as pipeline.
When trying to use the Google Colab demo to infer custom images, I encountered the following error: ```python # Inference the uploaded images #@markdown `DDPM_STEPS`: Number of DDPM steps for...
Hello Dear Author! The following problem occurs while reproducing your work: Traceback (most recent call last): File "/home/code/StableSR-main/main.py", line 738, in trainer.fit(model, data) File "/home/anaconda3/envs/stable/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 553, in fit self._run(model)...
Thank you for sharing the code. And I try to train the model from scratch following your train script and config, everything is same except the DIV8k dataset(i don't have...
Thanks for sharing such great work！ On the synthetic data, the processing results of the model I reproduced and the pretrain model you provided are basically the same. pretrain-117 |...
Thank you for your outstanding work！ I am very interested in the work with SD-Turbo. May I ask if its training is the same as SD-2.1? Do you only replace...
May I ask, for the DF2K and DIV8K datasets, did you crop them into small patches in advance during training? Because this will affect the proportion of various types of...
