Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 36.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: diorama, abstraction vintage chinese folk art, solo, a cute little girl, kimono, green hair, elf ears, old tree, river, wooden bridge, mountain, meditation, birds, 2d, muted colors, thick hatching, paper texture
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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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 1.9s
Move latents to cpu...
done in 0.02s
0: 640x640 (no detections), 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 7.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 10.4ms 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 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 (no detections), 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 36.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: diorama, abstraction vintage chinese folk art, solo, a cute little girl, kimono, green hair, elf ears, old tree, river, wooden bridge, mountain, meditation, birds, 2d, muted colors, thick hatching, paper texture
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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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 1.9s
Move latents to cpu...
done in 0.02s
0: 640x640 (no detections), 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 7.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 10.4ms 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 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 (no detections), 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.