Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: cowboy shot, A girl made of wires, her metallic figure crafted with intricate details and delicate precision. This visually striking image showcases a painting that depicts the girl's wire frame intricately woven with countless strands, creating a mesmerizing interplay of light and shadow. Pixar style, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>
Full negative prompt: portrait, close up, focus on face, zoom on face, simple background, plain background, duplicate, black and white, B/W, blurry, abstract, disfigured, deformed, cartoon, animated, toy, figure, framed, 3d, cartoon, 3d, disfigured, bad art, deformed, poorly drawn, extra limbs, close up, b&w, weird colors, too many colors, blurry, watermark, blur haze, 2 heads, long neck, watermark, elongated body, cropped image,out of frame,draft,deformed hands, twisted fingers, double image, malformed hands, multiple heads, extra limb, ugly, double legs, poorly drawn hands, missing limb, cut-off, over satured, grain, lowres, bad anatomy, poorly drawn face, mutation, mutated, floating limbs, disconnected limbs, out of focus, long body, disgusting, extra fingers, groos proportions, missing arms, mutated hands, cloned face, missing legs,
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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, 8.5ms
Speed: 2.9ms preprocess, 8.5ms inference, 32.8ms 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 0.46s
Move latents to cpu...
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0: 640x640 2 hands, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.9ms 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 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
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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...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.9ms preprocess, 7.1ms 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 1 hand, 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...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms 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, 6.8ms
Speed: 2.7ms 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 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: cowboy shot, A girl made of wires, her metallic figure crafted with intricate details and delicate precision. This visually striking image showcases a painting that depicts the girl's wire frame intricately woven with countless strands, creating a mesmerizing interplay of light and shadow. Pixar style, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>
Full negative prompt: portrait, close up, focus on face, zoom on face, simple background, plain background, duplicate, black and white, B/W, blurry, abstract, disfigured, deformed, cartoon, animated, toy, figure, framed, 3d, cartoon, 3d, disfigured, bad art, deformed, poorly drawn, extra limbs, close up, b&w, weird colors, too many colors, blurry, watermark, blur haze, 2 heads, long neck, watermark, elongated body, cropped image,out of frame,draft,deformed hands, twisted fingers, double image, malformed hands, multiple heads, extra limb, ugly, double legs, poorly drawn hands, missing limb, cut-off, over satured, grain, lowres, bad anatomy, poorly drawn face, mutation, mutated, floating limbs, disconnected limbs, out of focus, long body, disgusting, extra fingers, groos proportions, missing arms, mutated hands, cloned face, missing legs,
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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, 8.5ms
Speed: 2.9ms preprocess, 8.5ms inference, 32.8ms 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 0.46s
Move latents to cpu...
done in 0.23s
0: 640x640 2 hands, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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27%|██▋ | 6/22 [00:01<00:03, 4.84it/s]
32%|███▏ | 7/22 [00:01<00:03, 4.83it/s]
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41%|████ | 9/22 [00:01<00:02, 4.82it/s]
45%|████▌ | 10/22 [00:02<00:02, 4.82it/s]
50%|█████ | 11/22 [00:02<00:02, 4.85it/s]
55%|█████▍ | 12/22 [00:02<00:02, 4.88it/s]
59%|█████▉ | 13/22 [00:02<00:01, 4.81it/s]
64%|██████▎ | 14/22 [00:02<00:01, 4.84it/s]
68%|██████▊ | 15/22 [00:03<00:01, 4.81it/s]
73%|███████▎ | 16/22 [00:03<00:01, 4.84it/s]
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82%|████████▏ | 18/22 [00:03<00:00, 4.87it/s]
86%|████████▋ | 19/22 [00:03<00:00, 4.90it/s]
91%|█████████ | 20/22 [00:04<00:00, 4.92it/s]
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100%|██████████| 22/22 [00:04<00:00, 4.92it/s]
100%|██████████| 22/22 [00:04<00:00, 4.87it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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18%|█▊ | 4/22 [00:00<00:03, 4.84it/s]
23%|██▎ | 5/22 [00:01<00:03, 4.88it/s]
27%|██▋ | 6/22 [00:01<00:03, 4.86it/s]
32%|███▏ | 7/22 [00:01<00:03, 4.88it/s]
36%|███▋ | 8/22 [00:01<00:02, 4.90it/s]
41%|████ | 9/22 [00:01<00:02, 4.92it/s]
45%|████▌ | 10/22 [00:02<00:02, 4.93it/s]
50%|█████ | 11/22 [00:02<00:02, 4.89it/s]
55%|█████▍ | 12/22 [00:02<00:02, 4.86it/s]
59%|█████▉ | 13/22 [00:02<00:01, 4.88it/s]
64%|██████▎ | 14/22 [00:02<00:01, 4.87it/s]
68%|██████▊ | 15/22 [00:03<00:01, 4.85it/s]
73%|███████▎ | 16/22 [00:03<00:01, 4.87it/s]
77%|███████▋ | 17/22 [00:03<00:01, 4.81it/s]
82%|████████▏ | 18/22 [00:03<00:00, 4.84it/s]
86%|████████▋ | 19/22 [00:03<00:00, 4.84it/s]
91%|█████████ | 20/22 [00:04<00:00, 4.88it/s]
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100%|██████████| 22/22 [00:04<00:00, 4.87it/s]
100%|██████████| 22/22 [00:04<00:00, 4.86it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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18%|█▊ | 4/22 [00:00<00:03, 4.90it/s]
23%|██▎ | 5/22 [00:01<00:03, 4.88it/s]
27%|██▋ | 6/22 [00:01<00:03, 4.89it/s]
32%|███▏ | 7/22 [00:01<00:03, 4.85it/s]
36%|███▋ | 8/22 [00:01<00:02, 4.75it/s]
41%|████ | 9/22 [00:01<00:02, 4.72it/s]
45%|████▌ | 10/22 [00:02<00:02, 4.76it/s]
50%|█████ | 11/22 [00:02<00:02, 4.76it/s]
55%|█████▍ | 12/22 [00:02<00:02, 4.76it/s]
59%|█████▉ | 13/22 [00:02<00:01, 4.79it/s]
64%|██████▎ | 14/22 [00:02<00:01, 4.84it/s]
68%|██████▊ | 15/22 [00:03<00:01, 4.87it/s]
73%|███████▎ | 16/22 [00:03<00:01, 4.86it/s]
77%|███████▋ | 17/22 [00:03<00:01, 4.88it/s]
82%|████████▏ | 18/22 [00:03<00:00, 4.80it/s]
86%|████████▋ | 19/22 [00:03<00:00, 4.84it/s]
91%|█████████ | 20/22 [00:04<00:00, 4.88it/s]
95%|█████████▌| 21/22 [00:04<00:00, 4.89it/s]
100%|██████████| 22/22 [00:04<00:00, 4.92it/s]
100%|██████████| 22/22 [00:04<00:00, 4.84it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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14%|█▎ | 3/22 [00:00<00:03, 4.94it/s]
18%|█▊ | 4/22 [00:00<00:03, 4.91it/s]
23%|██▎ | 5/22 [00:01<00:03, 4.82it/s]
27%|██▋ | 6/22 [00:01<00:03, 4.83it/s]
32%|███▏ | 7/22 [00:01<00:03, 4.83it/s]
36%|███▋ | 8/22 [00:01<00:02, 4.87it/s]
41%|████ | 9/22 [00:01<00:02, 4.91it/s]
45%|████▌ | 10/22 [00:02<00:02, 4.92it/s]
50%|█████ | 11/22 [00:02<00:02, 4.91it/s]
55%|█████▍ | 12/22 [00:02<00:02, 4.88it/s]
59%|█████▉ | 13/22 [00:02<00:01, 4.85it/s]
64%|██████▎ | 14/22 [00:02<00:01, 4.87it/s]
68%|██████▊ | 15/22 [00:03<00:01, 4.85it/s]
73%|███████▎ | 16/22 [00:03<00:01, 4.83it/s]
77%|███████▋ | 17/22 [00:03<00:01, 4.87it/s]
82%|████████▏ | 18/22 [00:03<00:00, 4.83it/s]
86%|████████▋ | 19/22 [00:03<00:00, 4.85it/s]
91%|█████████ | 20/22 [00:04<00:00, 4.81it/s]
95%|█████████▌| 21/22 [00:04<00:00, 4.79it/s]
100%|██████████| 22/22 [00:04<00:00, 4.80it/s]
100%|██████████| 22/22 [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%| | 0/22 [00:00<?, ?it/s]
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23%|██▎ | 5/22 [00:01<00:03, 4.70it/s]
27%|██▋ | 6/22 [00:01<00:03, 4.78it/s]
32%|███▏ | 7/22 [00:01<00:03, 4.78it/s]
36%|███▋ | 8/22 [00:01<00:02, 4.81it/s]
41%|████ | 9/22 [00:01<00:02, 4.75it/s]
45%|████▌ | 10/22 [00:02<00:02, 4.78it/s]
50%|█████ | 11/22 [00:02<00:02, 4.82it/s]
55%|█████▍ | 12/22 [00:02<00:02, 4.86it/s]
59%|█████▉ | 13/22 [00:02<00:01, 4.86it/s]
64%|██████▎ | 14/22 [00:02<00:01, 4.88it/s]
68%|██████▊ | 15/22 [00:03<00:01, 4.86it/s]
73%|███████▎ | 16/22 [00:03<00:01, 4.89it/s]
77%|███████▋ | 17/22 [00:03<00:01, 4.90it/s]
82%|████████▏ | 18/22 [00:03<00:00, 4.91it/s]
86%|████████▋ | 19/22 [00:03<00:00, 4.92it/s]
91%|█████████ | 20/22 [00:04<00:00, 4.90it/s]
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100%|██████████| 22/22 [00:04<00:00, 4.91it/s]
100%|██████████| 22/22 [00:04<00:00, 4.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.