Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 69.0 seconds
Setting up the model...
Processing...
Full prompt: (boy and girl), north Indian, wearing traditional dress and ornaments, standing surrounded water source, (girl wearing strip blouse with deep cleavage), (boy wearing traditional dhoti), wet (body, clothes), asian skin tone, realistic, finely detailed, quality, OverallDetail, masterpiece, best quality, high resolution, 8k, sharp focus, cinematography, cinematic lighting, movie scene, muted colors, professional, depth of field, photorealistic, magnificent, maximum details, (RAW, dslr, hdr, highest quality), smooth, roughness, hyper realistic, film grain, bokeh, epic, dramatic, <lora:FaceBeauty_qinglong_V3:1>,
Full negative prompt: NSFW, topless, (worst quality, low quality:1.4), EasyNegativeV2:1.3,, strabismus, deformed face, second person, extra head, extra person, third arm, third hand, third leg, text, signature, writing, painting, blurry, extra limbs, disfigured, bad anatomy, extra legs, fused fingers, duplicate, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, too many fingers, long neck, ugly, bad proportions, cloned face, malformed limbs, missing arms, cross-eyed, missing legs, extra arms, lens flares, bodypainting, distorted body forms, degeneration, deformed, slipshod, patchily, cursory, monochrome, greyscale
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Decoding latents in cuda:0...
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0: 640x640 2 faces, 8.6ms
Speed: 12.1ms preprocess, 8.6ms inference, 63.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 faces, 8.1ms
Speed: 3.1ms preprocess, 8.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 faces, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 3.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 69.0 seconds
Setting up the model...
Processing...
Full prompt: (boy and girl), north Indian, wearing traditional dress and ornaments, standing surrounded water source, (girl wearing strip blouse with deep cleavage), (boy wearing traditional dhoti), wet (body, clothes), asian skin tone, realistic, finely detailed, quality, OverallDetail, masterpiece, best quality, high resolution, 8k, sharp focus, cinematography, cinematic lighting, movie scene, muted colors, professional, depth of field, photorealistic, magnificent, maximum details, (RAW, dslr, hdr, highest quality), smooth, roughness, hyper realistic, film grain, bokeh, epic, dramatic, <lora:FaceBeauty_qinglong_V3:1>,
Full negative prompt: NSFW, topless, (worst quality, low quality:1.4), EasyNegativeV2:1.3,, strabismus, deformed face, second person, extra head, extra person, third arm, third hand, third leg, text, signature, writing, painting, blurry, extra limbs, disfigured, bad anatomy, extra legs, fused fingers, duplicate, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, too many fingers, long neck, ugly, bad proportions, cloned face, malformed limbs, missing arms, cross-eyed, missing legs, extra arms, lens flares, bodypainting, distorted body forms, degeneration, deformed, slipshod, patchily, cursory, monochrome, greyscale
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Decoding latents in cuda:0...
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0: 640x640 2 faces, 8.6ms
Speed: 12.1ms preprocess, 8.6ms inference, 63.1ms postprocess per image at shape (1, 3, 640, 640)
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59%|█████▉ | 10/17 [00:02<00:01, 4.64it/s]
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71%|███████ | 12/17 [00:02<00:01, 4.66it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 faces, 8.1ms
Speed: 3.1ms preprocess, 8.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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71%|███████ | 12/17 [00:02<00:01, 4.58it/s]
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82%|████████▏ | 14/17 [00:03<00:00, 4.61it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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59%|█████▉ | 10/17 [00:02<00:01, 4.68it/s]
65%|██████▍ | 11/17 [00:02<00:01, 4.69it/s]
71%|███████ | 12/17 [00:02<00:01, 4.70it/s]
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100%|██████████| 17/17 [00:03<00:00, 4.76it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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71%|███████ | 12/17 [00:02<00:01, 4.62it/s]
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100%|██████████| 17/17 [00:03<00:00, 4.68it/s]
100%|██████████| 17/17 [00:03<00:00, 4.62it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:03<00:00, 4.68it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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59%|█████▉ | 10/17 [00:02<00:01, 4.77it/s]
65%|██████▍ | 11/17 [00:02<00:01, 4.78it/s]
71%|███████ | 12/17 [00:02<00:01, 4.80it/s]
76%|███████▋ | 13/17 [00:02<00:00, 4.82it/s]
82%|████████▏ | 14/17 [00:02<00:00, 4.83it/s]
88%|████████▊ | 15/17 [00:03<00:00, 4.84it/s]
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100%|██████████| 17/17 [00:03<00:00, 4.81it/s]
100%|██████████| 17/17 [00:03<00:00, 4.74it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 3.1ms postprocess per image at shape (1, 3, 640, 640)
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53%|█████▎ | 9/17 [00:01<00:01, 4.76it/s]
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65%|██████▍ | 11/17 [00:02<00:01, 4.78it/s]
71%|███████ | 12/17 [00:02<00:01, 4.73it/s]
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82%|████████▏ | 14/17 [00:02<00:00, 4.65it/s]
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100%|██████████| 17/17 [00:03<00:00, 4.64it/s]
100%|██████████| 17/17 [00:03<00:00, 4.68it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.