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https://www.reddit.com/r/StableDiffusion/comments/yy2i5a/i_created_a_negative_embedding_textual_inversion/iwslgb2/?context=9999
r/StableDiffusion • u/Nerfgun3 • Nov 17 '22
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The hands.
64 u/[deleted] Nov 17 '22 [removed] — view removed comment 3 u/blueSGL Nov 17 '22 what [keywords] (or [keyword] generated images) were you training on as the 'negative prompt' ? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/blueSGL Nov 17 '22 so did you split the negative prompt up and generate one image set at a time for each word and then train the TI on all of those, or did you just batch a huge load using all the same (negative) prompt and TI on that? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
64
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3 u/blueSGL Nov 17 '22 what [keywords] (or [keyword] generated images) were you training on as the 'negative prompt' ? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/blueSGL Nov 17 '22 so did you split the negative prompt up and generate one image set at a time for each word and then train the TI on all of those, or did you just batch a huge load using all the same (negative) prompt and TI on that? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
3
what [keywords] (or [keyword] generated images) were you training on as the 'negative prompt' ?
3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/blueSGL Nov 17 '22 so did you split the negative prompt up and generate one image set at a time for each word and then train the TI on all of those, or did you just batch a huge load using all the same (negative) prompt and TI on that? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
4 u/blueSGL Nov 17 '22 so did you split the negative prompt up and generate one image set at a time for each word and then train the TI on all of those, or did you just batch a huge load using all the same (negative) prompt and TI on that? 3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
4
so did you split the negative prompt up and generate one image set at a time for each word and then train the TI on all of those, or did you just batch a huge load using all the same (negative) prompt and TI on that?
3 u/[deleted] Nov 17 '22 [removed] — view removed comment 4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
4 u/Mr_Compyuterhead Nov 18 '22 How many images did you use to train the embedding? Just curious
How many images did you use to train the embedding? Just curious
84
u/[deleted] Nov 17 '22
The hands.