Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 197.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 3d cartoon Cu73Cre4ture hamster, leaping out of the sink, in contemporary kitchen, leaping at viewer, PSYCHOPHONKY fangs, high OverallDetail, smile, giant mouth, <lora:CuteCreatures: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: ((more than 2 eyes)), 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 3 faces, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 22.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 9.7ms
Speed: 3.0ms preprocess, 9.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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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0: 640x640 2 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms 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 0.44s
Move latents to cpu...
done in 0.23s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 197.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 3d cartoon Cu73Cre4ture hamster, leaping out of the sink, in contemporary kitchen, leaping at viewer, PSYCHOPHONKY fangs, high OverallDetail, smile, giant mouth, <lora:CuteCreatures: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: ((more than 2 eyes)), 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...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 3 faces, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 22.7ms 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...
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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.7ms 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...
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0: 640x640 2 faces, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms 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 (no detections), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 9.7ms
Speed: 3.0ms preprocess, 9.7ms 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 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 2 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms 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 0.44s
Move latents to cpu...
done in 0.23s
Uploading outputs...
Finished.