georgeguida

Tested it out, however stylegan2 ada pytorch and stylegan 3 .pkl files are different Input : !python generate.py --process=interpolation --interpolation=linear \ --easing=easeInOutQuad --space=w \ --network=/notebooks/training-runs/00007-stylegan3-t-dataset_dalle-gpus2-batch32-gamma8/network-snapshot-000600.pkl \ --outdir=/notebooks/out_generator \ --projected-w=/notebooks/projector/00000-projection-w-wavgstart-sgan2/projected_wavg_final.npy \...

any alternatives to this? Still get this after running from mmengine import print_log: /content/drive/MyDrive/AI/Semantic-Segment-Anything Traceback (most recent call last): File "/content/drive/MyDrive/AI/Semantic-Segment-Anything/scripts/main_ssa.py", line 6, in from pipeline import semantic_segment_anything_inference, eval_pipeline, img_load...