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by synapticpaint
1284 days ago
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I wouldn't say that "the opportunity all seems to be on the front end". Specifically for stable diffusion, there are a lot of different ways to use the model. I think we're just starting to scratch the surface of what SD can do, so there is some value in tinkering with different ways to use and apply the model. Example 1: have a look through here: http://synapticpaint.com/dreambooth/browse/ for some examples of dreambooth models people have created Example 2: you can merge different dreambooth models together to varying degrees of success (the idea being, you train model A on subject A, model B on subject B, and now you want to generate pictures of A and B together). My understanding is that this doesn't work too well at the moment, but it's possible that a different interpolation algorithm can yield better results. I do agree with the general sentiment that you wouldn't necessarily be training your own models or creating your own architecture, just want to provide the perspective that understanding the AI side is valuable because it can lead to different capabilities and products. |
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