Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 76.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: best quality, masterpiece, high definition, high resolution, 1girl, detailed face, extremely detailed, dark_knight, armor, helmet, simple background, (masterpiece), (best quality:1.2), detailed face, detailed eyes, serious look, suspenders, gloves, crusader, 1500s, victorian, glowing red eyes, fantasy, dark, grim, blood, slash, dim, cinematic, (flowers in a battlefield:1.2), warriors, war, battle, <lora:add_saturation:-0.2>
Full negative prompt: ng_deepnegative_v1_75t, badhandv4, girl, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, clothes
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0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 32.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms 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, 8.9ms
Speed: 2.8ms preprocess, 8.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms 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, 7.7ms
Speed: 3.0ms preprocess, 7.7ms 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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0: 640x640 1 hand, 7.3ms
Speed: 2.7ms preprocess, 7.3ms 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...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 76.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: best quality, masterpiece, high definition, high resolution, 1girl, detailed face, extremely detailed, dark_knight, armor, helmet, simple background, (masterpiece), (best quality:1.2), detailed face, detailed eyes, serious look, suspenders, gloves, crusader, 1500s, victorian, glowing red eyes, fantasy, dark, grim, blood, slash, dim, cinematic, (flowers in a battlefield:1.2), warriors, war, battle, <lora:add_saturation:-0.2>
Full negative prompt: ng_deepnegative_v1_75t, badhandv4, girl, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, clothes
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 32.2ms 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 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms 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, 8.9ms
Speed: 2.8ms preprocess, 8.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 2.9ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 21/21 [00:04<00:00, 3.13it/s]
100%|██████████| 21/21 [00:04<00:00, 4.48it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
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43%|████▎ | 9/21 [00:02<00:02, 4.18it/s]
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57%|█████▋ | 12/21 [00:03<00:01, 4.67it/s]
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67%|██████▋ | 14/21 [00:03<00:01, 4.76it/s]
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76%|███████▌ | 16/21 [00:04<00:01, 4.80it/s]
81%|████████ | 17/21 [00:04<00:00, 4.87it/s]
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100%|██████████| 21/21 [00:05<00:00, 4.92it/s]
100%|██████████| 21/21 [00:05<00:00, 3.96it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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81%|████████ | 17/21 [00:03<00:00, 5.01it/s]
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100%|██████████| 21/21 [00:04<00:00, 5.03it/s]
100%|██████████| 21/21 [00:04<00:00, 5.00it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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81%|████████ | 17/21 [00:03<00:00, 5.04it/s]
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100%|██████████| 21/21 [00:04<00:00, 4.96it/s]
100%|██████████| 21/21 [00:04<00:00, 5.01it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.