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forget-me-not's Issues

How to reproduce results for art styles?

Hi. Thanks for the great paper. I wanted to replicate the results for the art style of Van Gogh. It would be really helpful if you could answer the questions

  1. In ti.yaml, can you give more information on how to change the placeholder tokens? Did you tune Ti in your experiments for art styles in the paper?
  2. I am getting this error - RuntimeError: torch.cat(): expected a non-empty list of Tensors at line 287 in train_attn.py. Could you please let me know how to solve this?

Inquiry on Dataset Release Date

Hello and thank you for the great work!
There was already a question regarding the code release date. Do you have any plans to share the ConceptBench dataset. If so, when can we expect that? Thank you!

Query about Memorization Score

Hi,

I recently went through the paper and really liked your work!!!
I went through Section 4.4 and found the evaluation metric concept bench very interesting but I didn't find any code in the github repo for getting memorization scores of a concept forgotten, could you please add in the code as well or give any direction to how memorization scores were calculated effectively especially this step : "Subsequently, we invert the same anchor images of Elon Musk using original model and forgetting model respectively." ?

Thanks,
Kartik

Reproducing the result of NSFW

Thanks for your excellent works!
I've try your example of Elon Musk and the result is amazing, I try to use the same setting for NSFW erasing but it seems not working.
Can you shares your setting for forgetting prompt "a photo of naked"? Thank you.

Configs for Multi-concept Forgetting

Hi, thans for the wonderful work!

I'm currently try to use FMN to removel multipile concepts with only one model to train. However in your instructions and example configs, only single concept is mentioned and initializer_tokens in ti.yaml seem to highly dependent on the concepts.

I'm wondering what modification should I made to configurate them correctly for multi-concept forgetting.

Inference after deletion

Hi,
I tried to find the proper place to run inference after the deletion of some concepts. I wanted to infer something that is not identical to the original conecpt that was deleted. How can I do that?
Thanks!

Runtime error in the second stage of code compilation

Hi authors, I was recently going through your paper, Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, and wanted to replicate the experimental results as state in the paper. To this end, I followed the necessary steps for setup, and thereafter, execute the first on compilation of the code as shown,

python run.py configs/ti.yaml

Thereafter, on running the second stage of compilation

python run.py configs/attn.yaml

we encountered the following Runtime Error

RuntimeError: torch.cat(): expected a non-empty list of Tensor

Could you please help us in fixing this problem

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