About Cond P-Diff

[zhanglijun95]

Hi Authors,

Thank you for your great work! It inspired me a lot! I'm really looking forward to your code for Cond P-Diff. May I know the estimated time for getting access to that?

Besides, I have a question about Cond P-Diff. I saw the CV task in this paper is style image generation and Cond P-Diff will generate parameters according to the conditions, namely the style image. I want to know when you test Cond P-Diff, do you give it the style image it is trained with, or a totally new/unseen style? For example, train the Cond P-Diff with 10 style-parameter pairs, and test with another 5 styles.

I noticed that in the Appendix, you mentioned the style-continuous dataset and the generalizability of Cond P-Diff to generate parameters for style in the range that is not in the trainset. But here I want to discuss with you that do you think it can generate parameters for a totally unseen style? Or do you have any insight about this?

Really appreciate your response and great work. Thank you!

Best,
Lijun

[breAchyz]

Very good job! I also look forward to COND P-Diff!

[Jinxiaolong1129]

Hi, thanks for your attention to our work. We will opensource by the end of Sep.

[zhanglijun95]

Thank you for your confirmation! That's great.

[zhanglijun95]

Hi, do we have any updates regarding the new code?

[vishvak-ravi]

Hi, thanks for your attention to our work. We will opensource by the end of Sep.

Any updates on the timeline for conditional P-diff?

[Jinxiaolong1129]

Hi, due to GPU issues, we will update by next week.

[zhanglijun95]

Hi, can we get access to the parameter autoencoder and the unet architecture used in conditional P-diff first?

[Jinxiaolong1129]

Hi, I have sent all the code and dataset through email. Please check. We will reformat our code soon.

[zhanglijun95]

I recieved it. Thank you so much!

[srymaker]

Hi, any updates on the timeline for conditional P-diff?

[Jinxiaolong1129]

Hi, please email to jinxiaolong1129@gmail.com. I will share all the details.

[wangyanhu1995]

@Jinxiaolong1129 @zhanglijun95. Hi, I hope I'm not interrupting. I am reading and reproducing "Conditional LoRA Parameter Generation", could you please send me a copy of the code page? If it is convenient, please email to 202120642@mail.sdu.edu.cn Thank you very much!