Version: v2.0
Input
Output
This example was created by sparks
Finished in 106.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: (full body:1.9), infestus , art by james ely, in the style of dark red and cyan, vibrant comics, grunge beauty, light pink and dark cyan
((best quality)), ((masterpiece)), detailed soft oil painting, detailed background, dramatic cinematic lighting, soft edge lighting, professional, dramatic lighting, hard edge lighting,
ultra quality, 4k,(masteriece, best quality, 8k, ultra highres, highres:1.4), extremely detailed, <lora:add-detail-xl:1.0>
Full negative prompt: cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, muscular, over saturated,
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Decoding latents in cuda:0...
done in 2.91s
Move latents to cpu...
done in 0.03s
0: 576x640 1 face, 179.0ms
Speed: 3.2ms preprocess, 179.0ms inference, 30.1ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 (no detections), 102.6ms
Speed: 2.9ms preprocess, 102.6ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 576x640 1 face, 8.0ms
Speed: 3.0ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 576x640 1 hand, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.0s
0: 576x640 1 face, 8.1ms
Speed: 2.9ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.0s
0: 576x640 1 hand, 8.9ms
Speed: 3.1ms preprocess, 8.9ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by sparks
Finished in 106.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: (full body:1.9), infestus , art by james ely, in the style of dark red and cyan, vibrant comics, grunge beauty, light pink and dark cyan
((best quality)), ((masterpiece)), detailed soft oil painting, detailed background, dramatic cinematic lighting, soft edge lighting, professional, dramatic lighting, hard edge lighting,
ultra quality, 4k,(masteriece, best quality, 8k, ultra highres, highres:1.4), extremely detailed, <lora:add-detail-xl:1.0>
Full negative prompt: cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, muscular, over saturated,
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Decoding latents in cuda:0...
done in 2.91s
Move latents to cpu...
done in 0.03s
0: 576x640 1 face, 179.0ms
Speed: 3.2ms preprocess, 179.0ms inference, 30.1ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 576x640 (no detections), 102.6ms
Speed: 2.9ms preprocess, 102.6ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 576x640 1 face, 8.0ms
Speed: 3.0ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 576x640 1 hand, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.0s
0: 576x640 1 face, 8.1ms
Speed: 2.9ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.0s
0: 576x640 1 hand, 8.9ms
Speed: 3.1ms preprocess, 8.9ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.