Version: v8.0
Input
Output
This example was created by evevalentine2017
Finished in 73.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (an angry orange bull running through fire, the bull being composed of angular shapes, with a bitcoin logo hovering above the bull and the fire), masterpiece, award winning photography, lighting, perfect composition, high detail, hyper realistic,dramatic lighting, epic, Burgundy and dark_blue colors, <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 (no detections), 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 hand, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 22.9ms 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
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 (no detections), 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 (no detections), 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms 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: 2.6ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 2 faces, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 2.8ms 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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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.7ms
Speed: 2.7ms preprocess, 6.7ms 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 73.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (an angry orange bull running through fire, the bull being composed of angular shapes, with a bitcoin logo hovering above the bull and the fire), masterpiece, award winning photography, lighting, perfect composition, high detail, hyper realistic,dramatic lighting, epic, Burgundy and dark_blue colors, <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 (no detections), 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 hand, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 22.9ms 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
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 (no detections), 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 (no detections), 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms 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: 2.6ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 2 faces, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 2.8ms 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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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.7ms
Speed: 2.7ms preprocess, 6.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.