Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 62.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a woman, a woman made of wire and leaves, hilltop overlooking a valley, epic, dramatic, sunset, <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 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 30.4ms 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 0.46s
Move latents to cpu...
done in 0.24s
0: 640x640 (no detections), 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.44s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.43s
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.43s
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done in 0.0s
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 62.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a woman, a woman made of wire and leaves, hilltop overlooking a valley, epic, dramatic, sunset, <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 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 30.4ms 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 0.46s
Move latents to cpu...
done in 0.24s
0: 640x640 (no detections), 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s]
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.44s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.97it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.97it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.93it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.98it/s]
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
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50%|█████ | 7/14 [00:01<00:01, 4.88it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.91it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.89it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.89it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.89it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.89it/s]
100%|██████████| 14/14 [00:02<00:00, 4.87it/s]
Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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43%|████▎ | 6/14 [00:01<00:01, 4.86it/s]
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64%|██████▍ | 9/14 [00:01<00:01, 4.89it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.85it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.86it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.84it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.84it/s]
100%|██████████| 14/14 [00:02<00:00, 4.86it/s]
Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:00<00:02, 4.69it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.81it/s]
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57%|█████▋ | 8/14 [00:01<00:01, 4.75it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.82it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.83it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.79it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.78it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.82it/s]
100%|██████████| 14/14 [00:02<00:00, 4.85it/s]
100%|██████████| 14/14 [00:02<00:00, 4.80it/s]
Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 5.04it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.05it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.97it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.01it/s]
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43%|████▎ | 6/14 [00:01<00:01, 4.99it/s]
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57%|█████▋ | 8/14 [00:01<00:01, 4.96it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.97it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.93it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.96it/s]
100%|██████████| 14/14 [00:02<00:00, 4.97it/s]
Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.