Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 175.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: fallen angel, long black hair, purple eyes, twisted horns, broken angel wings, torn slit dress, heavy boots, gauntlets, sleeves, shoulders, broche, bloodied bow, falling feathers, broken halo, evil aura, demonic, stoic, spread body, best quality, highly detailed, detailed background, frozen environment, hellscape, falling crystalline, crystalized, quarts, mystical cube, floating spheres, shadow fall, broken skies, thunderstorm, vibrant, colored symbols, depth of field
Full negative prompt: ((big head)), EasyNegativeV2, By bad artist -neg, sketch, bad_pictures, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame,
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0: 640x640 1 face, 20.7ms
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0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.6ms
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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms 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 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 175.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: fallen angel, long black hair, purple eyes, twisted horns, broken angel wings, torn slit dress, heavy boots, gauntlets, sleeves, shoulders, broche, bloodied bow, falling feathers, broken halo, evil aura, demonic, stoic, spread body, best quality, highly detailed, detailed background, frozen environment, hellscape, falling crystalline, crystalized, quarts, mystical cube, floating spheres, shadow fall, broken skies, thunderstorm, vibrant, colored symbols, depth of field
Full negative prompt: ((big head)), EasyNegativeV2, By bad artist -neg, sketch, bad_pictures, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame,
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Decoding latents in cuda:0...
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0: 640x640 1 face, 20.7ms
Speed: 3.0ms preprocess, 20.7ms inference, 32.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.6ms
Speed: 3.2ms preprocess, 8.6ms inference, 1.7ms 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, 8.9ms
Speed: 2.7ms preprocess, 8.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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48%|████▊ | 11/23 [00:03<00:03, 3.08it/s]
52%|█████▏ | 12/23 [00:03<00:03, 3.09it/s]
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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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:04<00:02, 3.09it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.64it/s]
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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, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 10/23 [00:03<00:04, 3.09it/s]
48%|████▊ | 11/23 [00:03<00:03, 3.08it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.09it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.67it/s]
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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, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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52%|█████▏ | 12/23 [00:03<00:03, 3.11it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.11it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.66it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 10/23 [00:03<00:04, 3.11it/s]
48%|████▊ | 11/23 [00:03<00:03, 3.13it/s]
52%|█████▏ | 12/23 [00:03<00:03, 3.14it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.12it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.67it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 14/23 [00:04<00:02, 3.12it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.13it/s]
70%|██████▉ | 16/23 [00:05<00:02, 3.12it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.67it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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61%|██████ | 14/23 [00:04<00:02, 3.14it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.14it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.21it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.