Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 196.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: steampunk, a clock store with a beautiful doll sitting, wearing (mechanical gears:1.2), [emb-rrf2], Style-Glass, full body, sitting, wide shot, dramatic, backlit, subsurface scattering, realistic face, (detailed face), (highly detailed:1.2), painting, photo realistic, <lora:SteamPunkMachineryv2:0.9>, <lora:FaceBeauty_qinglong_V3:1>, (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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0: 640x640 1 face, 7.9ms
Speed: 2.9ms preprocess, 7.9ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.2ms
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0: 640x640 1 face, 7.4ms
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0: 640x640 1 hand, 6.8ms
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0: 640x640 3 hands, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.8ms 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: 2.5ms preprocess, 7.1ms inference, 1.4ms 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
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0: 640x640 3 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms 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 196.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: steampunk, a clock store with a beautiful doll sitting, wearing (mechanical gears:1.2), [emb-rrf2], Style-Glass, full body, sitting, wide shot, dramatic, backlit, subsurface scattering, realistic face, (detailed face), (highly detailed:1.2), painting, photo realistic, <lora:SteamPunkMachineryv2:0.9>, <lora:FaceBeauty_qinglong_V3:1>, (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...
done in 0.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 2.9ms preprocess, 7.9ms inference, 23.0ms 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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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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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Move latents to cpu...
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0: 640x640 1 hand, 6.8ms
Speed: 2.8ms preprocess, 6.8ms 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, 7.1ms
Speed: 2.7ms 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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0: 640x640 3 hands, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.8ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.5ms preprocess, 7.1ms inference, 1.4ms 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...
done in 0.22s
0: 640x640 3 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms 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...
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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...
done in 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.