Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 234.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (masterpiece), (best quality), ((ultra-detailed), (intricate details),
Colorful details, amazing composition, subsurface scattering, amazing textures, chiaroscuro, soft light, a macro beauty photo, a porcelain skin model with futuristic luminescent makeup and glitter, <lora:xl_yamer_style-3.0:0.2>
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.37s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 27.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 234.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (masterpiece), (best quality), ((ultra-detailed), (intricate details),
Colorful details, amazing composition, subsurface scattering, amazing textures, chiaroscuro, soft light, a macro beauty photo, a porcelain skin model with futuristic luminescent makeup and glitter, <lora:xl_yamer_style-3.0:0.2>
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.37s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 27.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:28<00:00, 1.24s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/23 [00:00<?, ?it/s]
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13%|█▎ | 3/23 [00:03<00:25, 1.27s/it]
17%|█▋ | 4/23 [00:05<00:24, 1.27s/it]
22%|██▏ | 5/23 [00:06<00:22, 1.26s/it]
26%|██▌ | 6/23 [00:07<00:21, 1.25s/it]
30%|███ | 7/23 [00:08<00:19, 1.24s/it]
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39%|███▉ | 9/23 [00:11<00:17, 1.24s/it]
43%|████▎ | 10/23 [00:12<00:16, 1.24s/it]
48%|████▊ | 11/23 [00:13<00:14, 1.25s/it]
52%|█████▏ | 12/23 [00:15<00:13, 1.25s/it]
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61%|██████ | 14/23 [00:17<00:11, 1.26s/it]
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78%|███████▊ | 18/23 [00:22<00:06, 1.25s/it]
83%|████████▎ | 19/23 [00:23<00:05, 1.26s/it]
87%|████████▋ | 20/23 [00:25<00:03, 1.25s/it]
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96%|█████████▌| 22/23 [00:27<00:01, 1.24s/it]
100%|██████████| 23/23 [00:28<00:00, 1.06s/it]
100%|██████████| 23/23 [00:28<00:00, 1.22s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.