Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 143.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (extremely sassy asian pinterest girl:1.2), 19yo, (squatting), gagging face, (hands on crotch), long messy black hair, full body tattoos, (wearing a mini thong, black lace top, high waist:0.9), (flat boobs:0.7), neck tattoo, navel piercing, makeup, trending on reddit, highly detailed photography, vibrant, insanely detailed, hyperdetailed
Full negative prompt: nsfw, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, (deformed, distorted, disfigured:1.25), (jewelry), big boobs, cute, well-behaved,
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Decoding latents in cuda:0...
done in 0.94s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 6.2ms
Speed: 2.2ms preprocess, 6.2ms inference, 15.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 5.6ms
Speed: 2.1ms preprocess, 5.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
This example was created by evevalentine2017
Finished in 143.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (extremely sassy asian pinterest girl:1.2), 19yo, (squatting), gagging face, (hands on crotch), long messy black hair, full body tattoos, (wearing a mini thong, black lace top, high waist:0.9), (flat boobs:0.7), neck tattoo, navel piercing, makeup, trending on reddit, highly detailed photography, vibrant, insanely detailed, hyperdetailed
Full negative prompt: nsfw, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, (deformed, distorted, disfigured:1.25), (jewelry), big boobs, cute, well-behaved,
0%| | 0/35 [00:00<?, ?it/s]
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Decoding latents in cuda:0...
done in 0.94s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 6.2ms
Speed: 2.2ms preprocess, 6.2ms inference, 15.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 5.6ms
Speed: 2.1ms preprocess, 5.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)