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Visualizing intermediate optimization steps as requested in #18
Basically,
drag_diffusion_update
now returns optimized latent and optimization sequence that is then denoised and decoded inrun_drag
. UI is modified with a checkbox (default False)Frames are stored in a separate folder and they can be converted to a
gif
ormp4
with something like:Please let me know if you did anything else to produce dragging trajectories for the website.
The following are the results for some random lion stock image (30 optimization steps):