Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 53.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: beautiful woman, light brown hair, ((upper body wide angle action photo, happy)), sexy, masterpiece, ultra-detailed, (she is a firefighter:1.1), NYPD, (wearing firefighter outfit:1.2), shadows, contrast, (look at viewer:1.2), (skin texture), (film grain:1.3), (warm hue, warm tone:1.2), close up, cinematic light, sidelighting, upper body, dynamic pose, perfecteyes eyes, light red eyes, glossy skin, shiny skin, volumetric light, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
Full negative prompt: nipples, nsfw, nude, High pass filter, airbrush, portrait, zoomed, soft light, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions , blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation , over saturation, over shadow,out of frame, obese, odd proportions, asymmetrical,fat,dialog, words, fonts, teeth, ((((ugly)))), (((duplicate))), ((morbid)), b&w, \[out of frame\], ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), blurry, cloned face, (((disfigured))), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), (fused fingers), (too many fingers),neon lights, tan lines, wrinkles,armpit hair, lowres, poorly drawn, crippled, crooked, broken, weird, odd, distorted, erased, cut, mutilated, sloppy, hideous, pixelated, aliasing, kid, child, mutated, extra_limb, two heads,children, gross, disgusting, horrible, scary, evil, old, conjoined, morphed, error, glitch, extra digits, signature, jpeg artifacts, low quality, unfinished, cropped, siamese twins, robot eyes, asian, penis, cartoon, manga, (large breasts:1.1), (clothes:1.5), (underwear:1.3), (panties:1.3), (lingerie:1.3), epiCNegative, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 35.1ms 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 0.01s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms 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 (no detections), 8.8ms
Speed: 3.0ms preprocess, 8.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms 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 (no detections), 8.1ms
Speed: 3.8ms preprocess, 8.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.3ms 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 (no detections), 9.0ms
Speed: 2.8ms preprocess, 9.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 53.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: beautiful woman, light brown hair, ((upper body wide angle action photo, happy)), sexy, masterpiece, ultra-detailed, (she is a firefighter:1.1), NYPD, (wearing firefighter outfit:1.2), shadows, contrast, (look at viewer:1.2), (skin texture), (film grain:1.3), (warm hue, warm tone:1.2), close up, cinematic light, sidelighting, upper body, dynamic pose, perfecteyes eyes, light red eyes, glossy skin, shiny skin, volumetric light, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
Full negative prompt: nipples, nsfw, nude, High pass filter, airbrush, portrait, zoomed, soft light, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions , blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation , over saturation, over shadow,out of frame, obese, odd proportions, asymmetrical,fat,dialog, words, fonts, teeth, ((((ugly)))), (((duplicate))), ((morbid)), b&w, \[out of frame\], ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), blurry, cloned face, (((disfigured))), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), (fused fingers), (too many fingers),neon lights, tan lines, wrinkles,armpit hair, lowres, poorly drawn, crippled, crooked, broken, weird, odd, distorted, erased, cut, mutilated, sloppy, hideous, pixelated, aliasing, kid, child, mutated, extra_limb, two heads,children, gross, disgusting, horrible, scary, evil, old, conjoined, morphed, error, glitch, extra digits, signature, jpeg artifacts, low quality, unfinished, cropped, siamese twins, robot eyes, asian, penis, cartoon, manga, (large breasts:1.1), (clothes:1.5), (underwear:1.3), (panties:1.3), (lingerie:1.3), epiCNegative, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 35.1ms 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 0.01s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms 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 (no detections), 8.8ms
Speed: 3.0ms preprocess, 8.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms 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 (no detections), 8.1ms
Speed: 3.8ms preprocess, 8.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/16 [00:00<?, ?it/s]
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25%|██▌ | 4/16 [00:00<00:02, 5.09it/s]
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62%|██████▎ | 10/16 [00:01<00:01, 4.96it/s]
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100%|██████████| 16/16 [00:03<00:00, 4.77it/s]
100%|██████████| 16/16 [00:03<00:00, 4.95it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 9.0ms
Speed: 2.8ms preprocess, 9.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.