Version: v7.0
Input
Output
This example was created by evevalentine2017
Finished in 67.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: awesomize, anime style, morning, architecture, Shanzhai Haunted Graveyard, <lora:EnvyAwesomizeXL01:0.8>
Full negative prompt: EasyNegative, naked, nude, NSFW, (ugly face:0.8), cross-eyed, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, jpegartifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, mutation, deformed, extra limbs, malformed limbs, fused fingers, too many fingers, long neck, mutated hands, polar lowres, bad body, gross proportions, missing arms, missing legs, extra foot, ((repeating hair)),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), 8.3ms
Speed: 3.2ms preprocess, 8.3ms inference, 5.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 (no detections), 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 10.5ms 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 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms 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), 7.6ms
Speed: 3.2ms preprocess, 7.6ms 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 67.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: awesomize, anime style, morning, architecture, Shanzhai Haunted Graveyard, <lora:EnvyAwesomizeXL01:0.8>
Full negative prompt: EasyNegative, naked, nude, NSFW, (ugly face:0.8), cross-eyed, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, jpegartifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, mutation, deformed, extra limbs, malformed limbs, fused fingers, too many fingers, long neck, mutated hands, polar lowres, bad body, gross proportions, missing arms, missing legs, extra foot, ((repeating hair)),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), 8.3ms
Speed: 3.2ms preprocess, 8.3ms inference, 5.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 (no detections), 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 10.5ms 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 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms 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), 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.