Version: v8.0
Input
Output
This example was created by evevalentine2017
Finished in 89.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (dna vector illustration of a character in cyberpunk costume riding a dinosaur, in the style of dmitri danish, photorealistic detail, marsin sobas, emphasises emotion over realism, skyfire masterpiece), masterpiece, award winning photography, lighting, perfect composition, high detail, hyper realistic,dramatic lighting, epic, (natural colors, correct white balance, color correction, dehaze, clarity), <lora:add_saturation:-0.95>
Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 3.2ms preprocess, 7.2ms 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 1 hand, 7.2ms
Speed: 6.2ms preprocess, 7.2ms 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 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 1 hand, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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), 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 1st settings.
0: 640x640 1 hand, 7.0ms
Speed: 2.6ms 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 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 89.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (dna vector illustration of a character in cyberpunk costume riding a dinosaur, in the style of dmitri danish, photorealistic detail, marsin sobas, emphasises emotion over realism, skyfire masterpiece), masterpiece, award winning photography, lighting, perfect composition, high detail, hyper realistic,dramatic lighting, epic, (natural colors, correct white balance, color correction, dehaze, clarity), <lora:add_saturation:-0.95>
Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 3.2ms preprocess, 7.2ms 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 1 hand, 7.2ms
Speed: 6.2ms preprocess, 7.2ms 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 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 1 hand, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 13/13 [00:04<00:00, 2.75it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 1st settings.
0: 640x640 1 hand, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 13/13 [00:04<00:00, 3.66it/s]
100%|██████████| 13/13 [00:04<00:00, 2.90it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.