Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 98.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (2d masterpiece dieselpunk realistic, best quality, day:1.3), back view, a cute tamil girl, :o, medium hair, cloche hat, nail polish, floating castle background, Lavish, trending on Sketchfab, <lora:Girl_face_3:0.3>
Full negative prompt: asian, chinese, (worst quality, low quality:2), monochrome, zombie, overexposure, watermark, text, bad anatomy, bad hand,((extra hands)),extra fingers, too many fingers, fused fingers, bad arm, distorted arm, extra arms, fused arms, extra legs, missing leg,disembodied leg,extra nipples, detached arm, liquid hand, inverted hand, disembodied limb, oversized head, extra body, extra navel, sketch, duplicate, ugly, huge eyes, text, logo, worst face, (blurry:2.0), horror, geometry, bad_prompt_version2, (missing fingers), multiple limbs, bad anatomy, Ugly Fingers, bad hand, extra legs, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, By bad artist -neg,
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.6s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 21.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.8ms preprocess, 6.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.5ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.7ms
Speed: 2.8ms 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 98.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (2d masterpiece dieselpunk realistic, best quality, day:1.3), back view, a cute tamil girl, :o, medium hair, cloche hat, nail polish, floating castle background, Lavish, trending on Sketchfab, <lora:Girl_face_3:0.3>
Full negative prompt: asian, chinese, (worst quality, low quality:2), monochrome, zombie, overexposure, watermark, text, bad anatomy, bad hand,((extra hands)),extra fingers, too many fingers, fused fingers, bad arm, distorted arm, extra arms, fused arms, extra legs, missing leg,disembodied leg,extra nipples, detached arm, liquid hand, inverted hand, disembodied limb, oversized head, extra body, extra navel, sketch, duplicate, ugly, huge eyes, text, logo, worst face, (blurry:2.0), horror, geometry, bad_prompt_version2, (missing fingers), multiple limbs, bad anatomy, Ugly Fingers, bad hand, extra legs, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, By bad artist -neg,
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.6s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 21.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:04<00:00, 2.50it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:04<00:00, 3.30it/s]
100%|██████████| 12/12 [00:04<00:00, 2.52it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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50%|█████ | 6/12 [00:02<00:02, 2.26it/s]
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83%|████████▎ | 10/12 [00:04<00:00, 2.44it/s]
92%|█████████▏| 11/12 [00:04<00:00, 2.82it/s]
100%|██████████| 12/12 [00:04<00:00, 3.25it/s]
100%|██████████| 12/12 [00:04<00:00, 2.49it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.8ms preprocess, 6.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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75%|███████▌ | 9/12 [00:04<00:01, 2.29it/s]
83%|████████▎ | 10/12 [00:04<00:00, 2.42it/s]
92%|█████████▏| 11/12 [00:04<00:00, 2.82it/s]
100%|██████████| 12/12 [00:04<00:00, 3.27it/s]
100%|██████████| 12/12 [00:04<00:00, 2.48it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.5ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:04<00:00, 3.21it/s]
100%|██████████| 12/12 [00:04<00:00, 2.43it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.7ms
Speed: 2.8ms 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.