Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 171.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: high quality, highly detailed, detailed background, female, huge breasts, cat girl, cat tail, heavy armor, forest, very long hair, running, confused, lost, wondering alone, forest, dark, nighttime, depth of field, blurred background
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, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 31.1ms 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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
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0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
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0: 640x640 1 hand, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 9.7ms
Speed: 4.6ms preprocess, 9.7ms 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...
done in 0.0s
0: 640x640 1 hand, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 171.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: high quality, highly detailed, detailed background, female, huge breasts, cat girl, cat tail, heavy armor, forest, very long hair, running, confused, lost, wondering alone, forest, dark, nighttime, depth of field, blurred background
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...
done in 0.98s
Move latents to cpu...
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 31.1ms 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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms 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, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
Speed: 2.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.7ms
Speed: 4.6ms preprocess, 9.7ms inference, 1.8ms 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 hand, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.