Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 47.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:scythe-10:0.5>, fishnet stockings, elf, 1girl, blonde, blue eyes, thief, dark, big armor, warscythe, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>, <lora:add_saturation:0.6>
Full negative prompt: realistic, portrait, face focus, nsfw, nipples, ((more than 2 legs)), EasyNegativeV2, (low quality:1.2), (normal quality:1.2), (worst quality:1.2), (text:1.5), simple background,
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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 1.59s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.6ms
Speed: 3.3ms preprocess, 8.6ms inference, 32.5ms 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 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.5ms 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
0: 640x640 1 face, 9.2ms
Speed: 3.4ms preprocess, 9.2ms inference, 1.7ms 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 47.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:scythe-10:0.5>, fishnet stockings, elf, 1girl, blonde, blue eyes, thief, dark, big armor, warscythe, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>, <lora:add_saturation:0.6>
Full negative prompt: realistic, portrait, face focus, nsfw, nipples, ((more than 2 legs)), EasyNegativeV2, (low quality:1.2), (normal quality:1.2), (worst quality:1.2), (text:1.5), simple background,
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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 1.59s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.6ms
Speed: 3.3ms preprocess, 8.6ms inference, 32.5ms 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 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.5ms 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
0: 640x640 1 face, 9.2ms
Speed: 3.4ms preprocess, 9.2ms inference, 1.7ms 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.