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CQxiaocaimi avatar CQxiaocaimi commented on July 18, 2024

I was wrong.
The images of Sample_002 and Reconstruction_002 should be fixed, but the Sample_002 generated now is from another image, which is completely unrelated to Reconstruction_002.

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geroldmeisinger avatar geroldmeisinger commented on July 18, 2024

if you are new to controlnet training I suggest to start out with a simpler one like an edge model to understand how parameters and image preparation effects training, see here lllyasviel/ControlNet#318 (comment) and https://civitai.com/articles/2078 . 1-2 epochs are usually fine from my experience (assuming 200k samples a32). I quite don't understand what the point of using the same prompt for all samples is and you might be better off with fine-tuninng a base model.

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CQxiaocaimi avatar CQxiaocaimi commented on July 18, 2024

如果你是控制网训练的新手,我建议从一个简单的开始,比如边缘模型,以了解参数和图像准备如何影响训练,请参阅此处 lllyasviel/ControlNet#318 (评论)https://civitai.com/articles/2078 。根据我的经验,1-2 个时期通常没问题(假设 200k 个样本 a32)。我非常理解对所有样本使用相同的提示的意义是什么,最好对基本模型进行微调。

I have read this article and used the basic tutorial, but I am still having trouble. I want to train ip2p, but the images in Sample_002 and Reconstruction_002 have absolutely no relationship.Their relationship should be fixed.I have tried many different prompt words, but the results are all the same. I sincerely hope to receive your help. I would like to know how you trained ip2p.Could you explain your training process?

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geroldmeisinger avatar geroldmeisinger commented on July 18, 2024

https://www.timothybrooks.com/instruct-pix2pix

btw your images are not visible

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