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我在训练的时候发现对于每个sample，用cache和不用cache的output的差距随着denoising的step增加而增加，如下图（denoising的步数为56），不知道这种output loss是不是对的？然后我训出来效果也很不好，没办法像readme.md里面的gif那么完美，不知道能不能提供一下训练的loss来参考一下？
I found during training t…
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Hi,
I would like to reproduce the results for image denoising as depicted in Figure 9 (Right image).
May I know how to format the dataset to apply your code?
Many thanks,
Vinod
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### Discussed in https://github.com/huggingface/diffusers/discussions/9273
Originally posted by **justin4ai** August 26, 2024
Hello, I'm quite new to diffusers package and trying to implement …
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您好，想问一下，是否您那边有原始的没处理的CT Denoising 数据 2016 NIH AAPM-Mayo Clinic Low-Dose CT Grand Challenge；
可以分享一下么
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t2v and i2v are both work well, thanks for your work!
is there any chance to implement Pyramin Flow on v2v task?
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Hello,
We noticed that you mentioned in the article that all training utilized L1 Loss. However, in the Burst Denoising section, you referred to the experimental setups of KPN and BPN, where KPN em…
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作者你好，我的数据集在经过dataset处理后，都是(512,512,1)的数据集，然后在sample_trainging中，采用的mean_type为epsilon，然后在随后的denoising中，采用的mean_type也是为epsilon。然后能够正常生成lr_dn的图像。然后在进行sr_training中，第一次采用的mean_type为x0_and_epsilon,denoising中…
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I want to create a denoising autoencoder using CNTK deconv and Unpooling functions.
The example for autoencoders only use the input image for comparison with the output from the autoencoder: (err …
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### Model/Pipeline/Scheduler description
The authors propose a novel inference technique based on a pretrained diffusion model for text-conditional video generation. Their approach, called FIFO-Diffu…
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Hi,
could you provide a small example that shows how wavelet can be used for denoising?