Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 201.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, (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 1.0s
Move latents to cpu...
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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 22.9ms 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, 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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...
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0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.3ms 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 2 hands, 8.1ms
Speed: 2.8ms preprocess, 8.1ms inference, 1.5ms 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
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...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.6ms preprocess, 7.1ms 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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0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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, 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 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 201.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, (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 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 22.9ms 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, 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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...
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0: 640x640 1 face, 7.2ms
Speed: 2.5ms 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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Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 8.1ms
Speed: 2.8ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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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
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...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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64%|██████▍ | 18/28 [00:06<00:03, 2.84it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
100%|██████████| 28/28 [00:09<00:00, 2.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 8/28 [00:03<00:08, 2.44it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.03it/s]
100%|██████████| 28/28 [00:09<00:00, 2.84it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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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61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.81it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.04it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.