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Fake images #71

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Fake images #71

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danielgural
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Quick demo to show how to use embeddings to spot fakes

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Should be a separate PR

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Upload as raw github user content or google drive and add via URL or download, to avoid bloat in repo. Same goes for all images.

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Add the tracking stuff as a separate PR

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separate out the tracking stuff

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Feedback on the notebook:

  • instead of for sample in dataset, use dataset.iter_samples(autosave=True) — it's faster
  • We have access to filename as sample.filename. You don't need os.path here
  • make sure all images of the app are actually viewable, not blank or pixelating. Add as separate images like the butterflies
  • For SD images, maybe use the Text-to-Image Plugin, or make a note about it? This would be more robust but achieve the same effect as your tagging with "diffusion", as well as give transparency into the prompts
  • Why installing numba? It should be installed by default, right?
  • for compute_visualization(), num_dims=2 is default, "emb" is not a descriptive key, and verbose=True isn't helpful if omitting outputs.

high level feedback:

  • some motivation and conclusion would be helpful
  • if you are using default model for embeddings, you should say what it is. Also probably worth showing a few models and seeing how things look in the dim reduced space, i.e. what each model picks up on.

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