Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 198.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed, <lora:CircuitBoardAI:1>, (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
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms 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, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
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0: 640x640 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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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.
===========================================
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0: 640x640 2 faces, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms 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 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 198.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed, <lora:CircuitBoardAI:1>, (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
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms 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, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
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0: 640x640 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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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 0.43s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.