Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Reproducing Results #29

Open
tanriverdiege opened this issue Jul 10, 2024 · 2 comments
Open

Reproducing Results #29

tanriverdiege opened this issue Jul 10, 2024 · 2 comments

Comments

@tanriverdiege
Copy link

@brandontrabucco Thank you for the great research and open-sourcing your code. I was trying to reproduce the plots in your paper (Figure 5). I am using the tokens you have provided in Google Drive. I am making a mistake somewhere and can not reproduce the exact plots. If it is possible can you provide the exact arguments for the train_classifier.py script so that I can obtain the results in the paper. Thank you.

@vaventt
Copy link

vaventt commented Aug 30, 2024

Have you tried these arguments?

python train_classifier.py --logdir pascal-baselines/textual-inversion-1.0-0.75-0.5-0.25 \
--synthetic-dir "/projects/rsalakhugroup/btrabucc/aug/\
textual-inversion-1.0-0.75-0.5-0.25/{dataset}-{seed}-{examples_per_class}" \
--dataset pascal --prompt "a photo of a {name}" \
--aug textual-inversion textual-inversion textual-inversion textual-inversion \
--guidance-scale 7.5 7.5 7.5 7.5 \
--strength 1.0 0.75 0.5 0.25 \
--mask 0 0 0 0 \
--inverted 0 0 0 0 \
--probs 0.25 0.25 0.25 0.25 \
--compose parallel --num-synthetic 10 --synthetic-probability 0.5 \
--num-trials 8 --examples-per-class 1 2 4 8 16

@Julius-R-UI
Copy link

@tanriverdiege where you ever able recreate the results + what drive link?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants