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Hello everyone ! First of all, big thanks to you Bernard for your incredible work, the time involved, and your dedication. Now to all the savvy community, I haven't been able to find an answer in the readme's (maybe I don't look well enough): Now, to the question: How could I input negative prompts in addition to my prompts in training captions. ? What I would like to try is to counter the effect in one prompt in my training data with a negative counter part in my regularization images and try to look if possible to transform one specific style to another. Let's say I only have sketches of a character or 3d renders, and I have lot's of real life photography of the regularization images, would it be possible to have prompts looking like this : #training images : #regularization images : with robotdog being the thing i want to train on and --n the command switch to set a negative token... in that sense, the training process would recognize both the differences between the characteristics of the robotdog vs a dog, but would also be able to generalize the characteristics of a sketch and a photograph ? Because otherwise, the robotdog prompt would systematically lead to drawings, right ? English is not my native language, sorry if this is not clear. Or is there a simpler way to do this ? Thank you. |
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I suppose latest update with support for weighted captions kind of answers this question. |
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I suppose latest update with support for weighted captions kind of answers this question.
Thank you for the updates :)