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Very cool. Would be interesting to train a model on images with alpha channels so outputs would be automatically masked and more easily composable. But maybe masking is so good these days that would be futile? When a user does img-2-img on a layer does it use the context from other visible layers in the generation?
For composing this approach works pretty well, maybe the author should consider making a UI for it https://multidiffusion.github.io/
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I believe these questions and their complex answers are the reason you've been downvoted.
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Doesn't this entirely depend both on what its been trained on and what style is being output? But also, philosophically, is it even "theft" to make something in-the-style-of someone? I believe these questions and their complex answers are the reason you've been downvoted.
Downvotes because you didn't back up what you mean.
Flagged because there are AI fanboys that want to sensor speech perhaps?
1. https://github.com/OpenDreamProject/OpenDream 2. https://opendream.ai/
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Theft takes the original, piracy makes a copy, AI art remixes the original. I’m not sure how to classify AI art but it definitely isn’t theft.
Art inspired by other art has been the way of things for as long as we've been creating images. There's no such thing as a "clean-room painting."
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Theft takes the original, piracy makes a copy, AI art remixes the original. I’m not sure how to classify AI art but it definitely isn’t theft.
No way to quantify though, for or against copy protection
But thats a convenient compromise for now