Version: v8.0
Input
Output
This example was created by evevalentine2017
Finished in 88.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (Baby sloth, hyper detail, cinematic lighting, night, exterior, jungle, trees, vines, grass, river, portrait, hyper detailed, intricate, extremely beautiful, cinematic, photo realistic, rich colours, dark shadows), masterpiece, best quality, highly detailed, soft lighting, beautiful detailed, insanely intricate details, intricate details, perfect lighting, incredible detail, hypermaximalistic, natural balance color, 8k, ultra detailed, beautiful and aesthetic, extremely detailed, elegant, vivid colours, atmospheric, <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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 22.6ms 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), 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms 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: 2.8ms 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: 3.5ms 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 2 faces, 7.7ms
Speed: 2.7ms preprocess, 7.7ms 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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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms 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), 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms 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 88.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (Baby sloth, hyper detail, cinematic lighting, night, exterior, jungle, trees, vines, grass, river, portrait, hyper detailed, intricate, extremely beautiful, cinematic, photo realistic, rich colours, dark shadows), masterpiece, best quality, highly detailed, soft lighting, beautiful detailed, insanely intricate details, intricate details, perfect lighting, incredible detail, hypermaximalistic, natural balance color, 8k, ultra detailed, beautiful and aesthetic, extremely detailed, elegant, vivid colours, atmospheric, <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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 22.6ms 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), 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms 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: 2.8ms 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: 3.5ms 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 2 faces, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.9ms 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
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100%|██████████| 13/13 [00:04<00:00, 3.49it/s]
100%|██████████| 13/13 [00:04<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 13/13 [00:04<00:00, 3.59it/s]
100%|██████████| 13/13 [00:04<00:00, 2.81it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.