Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 232.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (masterpiece), (best quality), (ultra-detailed), (intricate details),
Macro shot, rain, Tyndall effect, Volumetric Lighting, colorful details, amazing composition, subsurface scattering, amazing textures, filmic, chiaroscuro, soft light, Macro photography, two alabaster snails are climbing a creeping vine plant, elegant style of ecological photography, romantic emotions, intuitive moments, realistic and romantic, natural strong backlighting
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 2.4s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 8.0ms
Speed: 3.0ms preprocess, 8.0ms inference, 4.5ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 2 hands, 6.8ms
Speed: 3.0ms preprocess, 6.8ms inference, 22.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
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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: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.5ms
Speed: 3.4ms preprocess, 7.5ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 7.2ms
Speed: 3.0ms preprocess, 7.2ms 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 232.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (masterpiece), (best quality), (ultra-detailed), (intricate details),
Macro shot, rain, Tyndall effect, Volumetric Lighting, colorful details, amazing composition, subsurface scattering, amazing textures, filmic, chiaroscuro, soft light, Macro photography, two alabaster snails are climbing a creeping vine plant, elegant style of ecological photography, romantic emotions, intuitive moments, realistic and romantic, natural strong backlighting
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 2.4s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 8.0ms
Speed: 3.0ms preprocess, 8.0ms inference, 4.5ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 2 hands, 6.8ms
Speed: 3.0ms preprocess, 6.8ms inference, 22.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
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100%|██████████| 23/23 [00:28<00:00, 1.25s/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: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/23 [00:00<?, ?it/s]
4%|▍ | 1/23 [00:01<00:29, 1.34s/it]
9%|▊ | 2/23 [00:02<00:26, 1.26s/it]
13%|█▎ | 3/23 [00:03<00:24, 1.24s/it]
17%|█▋ | 4/23 [00:04<00:23, 1.23s/it]
22%|██▏ | 5/23 [00:06<00:22, 1.23s/it]
26%|██▌ | 6/23 [00:07<00:21, 1.28s/it]
30%|███ | 7/23 [00:08<00:20, 1.28s/it]
35%|███▍ | 8/23 [00:10<00:18, 1.26s/it]
39%|███▉ | 9/23 [00:11<00:17, 1.28s/it]
43%|████▎ | 10/23 [00:12<00:16, 1.27s/it]
48%|████▊ | 11/23 [00:13<00:15, 1.29s/it]
52%|█████▏ | 12/23 [00:15<00:13, 1.27s/it]
57%|█████▋ | 13/23 [00:16<00:12, 1.27s/it]
61%|██████ | 14/23 [00:17<00:11, 1.26s/it]
65%|██████▌ | 15/23 [00:18<00:10, 1.26s/it]
70%|██████▉ | 16/23 [00:20<00:08, 1.28s/it]
74%|███████▍ | 17/23 [00:21<00:07, 1.31s/it]
78%|███████▊ | 18/23 [00:22<00:06, 1.30s/it]
83%|████████▎ | 19/23 [00:24<00:05, 1.29s/it]
87%|████████▋ | 20/23 [00:25<00:03, 1.27s/it]
91%|█████████▏| 21/23 [00:26<00:02, 1.26s/it]
96%|█████████▌| 22/23 [00:27<00:01, 1.26s/it]
100%|██████████| 23/23 [00:28<00:00, 1.06s/it]
100%|██████████| 23/23 [00:28<00:00, 1.24s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.5ms
Speed: 3.4ms preprocess, 7.5ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.