Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 224.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:kVoidEnergy-000001:0.8>, (v0id3nergy), 1man, male, beard, modern mage, magical aura, void energy, (vortex), sparks, jacket, loose pants, black hair, (glowing eyes), crossed belts, collarbone, navel, toned, chest hair, arm above head, serious, stubble, <lora:wband:0.8> red underwear, Fixhand, lightning, burning, grim, city street, jewelry, explosion, side view, action, chaos, belt chains, red and black clothes, arcane sigils, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
Couldn't find network with name wband
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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 1.43s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 19.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
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Move latents to cpu...
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Couldn't find network with name wband
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Decoding latents in cuda:0...
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Move latents to cpu...
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Couldn't find network with name wband
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms 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 2 hands, 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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Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.8ms preprocess, 7.1ms 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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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 224.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:kVoidEnergy-000001:0.8>, (v0id3nergy), 1man, male, beard, modern mage, magical aura, void energy, (vortex), sparks, jacket, loose pants, black hair, (glowing eyes), crossed belts, collarbone, navel, toned, chest hair, arm above head, serious, stubble, <lora:wband:0.8> red underwear, Fixhand, lightning, burning, grim, city street, jewelry, explosion, side view, action, chaos, belt chains, red and black clothes, arcane sigils, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
Couldn't find network with name wband
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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 1.43s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 19.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Couldn't find network with name wband
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61%|██████ | 14/23 [00:05<00:03, 2.41it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.46it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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61%|██████ | 14/23 [00:06<00:03, 2.37it/s]
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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, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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100%|██████████| 23/23 [00:09<00:00, 3.29it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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100%|██████████| 23/23 [00:09<00:00, 3.36it/s]
100%|██████████| 23/23 [00:09<00:00, 2.50it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Couldn't find network with name wband
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43%|████▎ | 10/23 [00:04<00:05, 2.23it/s]
48%|████▊ | 11/23 [00:04<00:05, 2.26it/s]
52%|█████▏ | 12/23 [00:05<00:05, 2.18it/s]
57%|█████▋ | 13/23 [00:05<00:04, 2.19it/s]
61%|██████ | 14/23 [00:06<00:04, 2.11it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.23it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.32it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.34it/s]
100%|██████████| 23/23 [00:09<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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48%|████▊ | 11/23 [00:04<00:04, 2.59it/s]
52%|█████▏ | 12/23 [00:04<00:04, 2.49it/s]
57%|█████▋ | 13/23 [00:05<00:03, 2.51it/s]
61%|██████ | 14/23 [00:05<00:03, 2.41it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.38it/s]
100%|██████████| 23/23 [00:09<00:00, 2.55it/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: 2.6ms preprocess, 6.7ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name wband
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.