Version: v4.0
Input
Output
This example was created by sparks
Finished in 240.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: photo realistic, masterpiece, best quality, 1 girl, walking on the street, white hair,T-shirt, skirt, , pink jacket, night city, long hair, straight hair, <lora:add-detail-xl:1.5>
Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
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0: 640x512 1 face, 180.1ms
Speed: 2.7ms preprocess, 180.1ms inference, 13.8ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 (no detections), 115.0ms
Speed: 2.8ms preprocess, 115.0ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 512)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x512 1 face, 8.2ms
Speed: 2.6ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 1 hand, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 2 faces, 8.3ms
Speed: 2.6ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 1 hand, 10.4ms
Speed: 2.6ms preprocess, 10.4ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by sparks
Finished in 240.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: photo realistic, masterpiece, best quality, 1 girl, walking on the street, white hair,T-shirt, skirt, , pink jacket, night city, long hair, straight hair, <lora:add-detail-xl:1.5>
Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
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Decoding latents in cuda:0...
done in 2.44s
Move latents to cpu...
done in 0.03s
0: 640x512 1 face, 180.1ms
Speed: 2.7ms preprocess, 180.1ms inference, 13.8ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x512 (no detections), 115.0ms
Speed: 2.8ms preprocess, 115.0ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 512)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x512 1 face, 8.2ms
Speed: 2.6ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x512 1 hand, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512)
0%| | 0/16 [00:00<?, ?it/s]
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69%|██████▉ | 11/16 [00:11<00:04, 1.00it/s]
75%|███████▌ | 12/16 [00:12<00:04, 1.01s/it]
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100%|██████████| 16/16 [00:15<00:00, 1.19it/s]
100%|██████████| 16/16 [00:15<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x512 2 faces, 8.3ms
Speed: 2.6ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 512)
0%| | 0/16 [00:00<?, ?it/s]
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62%|██████▎ | 10/16 [00:10<00:06, 1.01s/it]
69%|██████▉ | 11/16 [00:11<00:05, 1.01s/it]
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100%|██████████| 16/16 [00:15<00:00, 1.20it/s]
100%|██████████| 16/16 [00:15<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0%| | 0/16 [00:00<?, ?it/s]
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44%|████▍ | 7/16 [00:08<00:12, 1.36s/it]
50%|█████ | 8/16 [00:09<00:10, 1.33s/it]
56%|█████▋ | 9/16 [00:10<00:08, 1.22s/it]
62%|██████▎ | 10/16 [00:11<00:06, 1.15s/it]
69%|██████▉ | 11/16 [00:12<00:05, 1.10s/it]
75%|███████▌ | 12/16 [00:13<00:04, 1.08s/it]
81%|████████▏ | 13/16 [00:14<00:03, 1.05s/it]
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100%|██████████| 16/16 [00:17<00:00, 1.16it/s]
100%|██████████| 16/16 [00:17<00:00, 1.07s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x512 1 hand, 10.4ms
Speed: 2.6ms preprocess, 10.4ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 512)
0%| | 0/16 [00:00<?, ?it/s]
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62%|██████▎ | 10/16 [00:10<00:06, 1.03s/it]
69%|██████▉ | 11/16 [00:11<00:05, 1.01s/it]
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100%|██████████| 16/16 [00:15<00:00, 1.20it/s]
100%|██████████| 16/16 [00:15<00:00, 1.00it/s]
Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.