Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:GallyV1.5:1>, short hair, black hair, brown eyes, bodysuit, facial mark, mechanical arms, cyberpunk, facepaint, gallywz, android, red facepaint, cyberpunk, mechanical arms, facial mark, leotard,pants, brown eyes, black hair, short hair, 1girl, masterpice, high quality, best quality, good body, good hands and fingers, official art, perfect face, perfect hands, (solo), (city), people, science fiction, <lora:head_slider_v10:4>
Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nipples, nsfw, more than 1 person
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.2ms
Speed: 11.3ms preprocess, 8.2ms inference, 40.4ms 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, 8.7ms
Speed: 3.3ms preprocess, 8.7ms 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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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms 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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms 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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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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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Move latents to cpu...
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0: 640x640 2 hands, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 1.9ms 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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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms 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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Move latents to cpu...
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0: 640x640 1 hand, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.6ms 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
Finished.
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:GallyV1.5:1>, short hair, black hair, brown eyes, bodysuit, facial mark, mechanical arms, cyberpunk, facepaint, gallywz, android, red facepaint, cyberpunk, mechanical arms, facial mark, leotard,pants, brown eyes, black hair, short hair, 1girl, masterpice, high quality, best quality, good body, good hands and fingers, official art, perfect face, perfect hands, (solo), (city), people, science fiction, <lora:head_slider_v10:4>
Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nipples, nsfw, more than 1 person
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.2ms
Speed: 11.3ms preprocess, 8.2ms inference, 40.4ms 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, 8.7ms
Speed: 3.3ms preprocess, 8.7ms 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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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms 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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 2.0ms 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 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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57%|█████▋ | 12/21 [00:02<00:01, 4.83it/s]
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67%|██████▋ | 14/21 [00:02<00:01, 4.85it/s]
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81%|████████ | 17/21 [00:03<00:00, 4.79it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.80it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 9/21 [00:01<00:02, 4.88it/s]
48%|████▊ | 10/21 [00:02<00:02, 4.85it/s]
52%|█████▏ | 11/21 [00:02<00:02, 4.88it/s]
57%|█████▋ | 12/21 [00:02<00:01, 4.90it/s]
62%|██████▏ | 13/21 [00:02<00:01, 4.89it/s]
67%|██████▋ | 14/21 [00:02<00:01, 4.83it/s]
71%|███████▏ | 15/21 [00:03<00:01, 4.75it/s]
76%|███████▌ | 16/21 [00:03<00:01, 4.79it/s]
81%|████████ | 17/21 [00:03<00:00, 4.85it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.92it/s]
100%|██████████| 21/21 [00:04<00:00, 4.88it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.45s
Move latents to cpu...
done in 0.22s
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43%|████▎ | 9/21 [00:01<00:02, 4.89it/s]
48%|████▊ | 10/21 [00:02<00:02, 4.83it/s]
52%|█████▏ | 11/21 [00:02<00:02, 4.82it/s]
57%|█████▋ | 12/21 [00:02<00:01, 4.81it/s]
62%|██████▏ | 13/21 [00:02<00:01, 4.84it/s]
67%|██████▋ | 14/21 [00:02<00:01, 4.86it/s]
71%|███████▏ | 15/21 [00:03<00:01, 4.74it/s]
76%|███████▌ | 16/21 [00:03<00:01, 4.81it/s]
81%|████████ | 17/21 [00:03<00:00, 4.84it/s]
86%|████████▌ | 18/21 [00:03<00:00, 4.89it/s]
90%|█████████ | 19/21 [00:03<00:00, 4.91it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.79it/s]
100%|██████████| 21/21 [00:04<00:00, 4.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/21 [00:00<?, ?it/s]
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29%|██▊ | 6/21 [00:01<00:03, 4.92it/s]
33%|███▎ | 7/21 [00:01<00:02, 4.90it/s]
38%|███▊ | 8/21 [00:01<00:02, 4.83it/s]
43%|████▎ | 9/21 [00:01<00:02, 4.86it/s]
48%|████▊ | 10/21 [00:02<00:02, 4.91it/s]
52%|█████▏ | 11/21 [00:02<00:02, 4.94it/s]
57%|█████▋ | 12/21 [00:02<00:01, 4.95it/s]
62%|██████▏ | 13/21 [00:02<00:01, 4.95it/s]
67%|██████▋ | 14/21 [00:02<00:01, 4.97it/s]
71%|███████▏ | 15/21 [00:03<00:01, 4.98it/s]
76%|███████▌ | 16/21 [00:03<00:01, 5.00it/s]
81%|████████ | 17/21 [00:03<00:00, 4.99it/s]
86%|████████▌ | 18/21 [00:03<00:00, 4.96it/s]
90%|█████████ | 19/21 [00:03<00:00, 4.97it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.95it/s]
100%|██████████| 21/21 [00:04<00:00, 4.92it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/21 [00:00<?, ?it/s]
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29%|██▊ | 6/21 [00:01<00:03, 4.87it/s]
33%|███▎ | 7/21 [00:01<00:02, 4.90it/s]
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43%|████▎ | 9/21 [00:01<00:02, 4.91it/s]
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52%|█████▏ | 11/21 [00:02<00:02, 4.90it/s]
57%|█████▋ | 12/21 [00:02<00:01, 4.93it/s]
62%|██████▏ | 13/21 [00:02<00:01, 4.95it/s]
67%|██████▋ | 14/21 [00:02<00:01, 4.95it/s]
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76%|███████▌ | 16/21 [00:03<00:01, 4.96it/s]
81%|████████ | 17/21 [00:03<00:00, 4.93it/s]
86%|████████▌ | 18/21 [00:03<00:00, 4.93it/s]
90%|█████████ | 19/21 [00:03<00:00, 4.92it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.94it/s]
100%|██████████| 21/21 [00:04<00:00, 4.93it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.