Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 70.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, anime, kawaii,best illustration, extreme light and shadow), (1boy:.6), solo, (non binary:.8), (girl focus:.7), (mature:.9), transgender female, white hair, two tone hair, jacket, blue jacket, pink gloves, pink eyes, white hair, headband, white denim jeans, multicolored hair, blue headband, multicolored clothes, hair behind ear, long hair, green bodysuit, looking at viewer, open jacket, yellow jacket, arm up, multicolored bodysuit, goth eye liner, wristband, emo punk style, (punk:1.5), jewelry,(dynamic angle), (two fingers showing a peace sign, hand up), depth of field, tattoos, (downtown minneapolis:2),, (best sunlight:.8), (lens flare:.9), wind swept hair, (sidelighting), (volumetric lighting), <lora:ani-cartoon:1>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_brightness:0.3>, <lora:add_saturation:0.2>
Full negative prompt: realistic, portrait, face focus, nsfw, nipples, EasyNegativeV2, (low quality:1.2), (normal quality:1.2), (worst quality:1.2), (text:1.5), simple background,
Couldn't find network with name ani-cartoon
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.3ms
Speed: 2.9ms preprocess, 8.3ms inference, 33.1ms 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: 2.8ms preprocess, 7.4ms inference, 1.4ms 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: 2.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 2.4ms 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, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms 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, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.4ms 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, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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 0.45s
Move latents to cpu...
done in 0.22s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 70.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, anime, kawaii,best illustration, extreme light and shadow), (1boy:.6), solo, (non binary:.8), (girl focus:.7), (mature:.9), transgender female, white hair, two tone hair, jacket, blue jacket, pink gloves, pink eyes, white hair, headband, white denim jeans, multicolored hair, blue headband, multicolored clothes, hair behind ear, long hair, green bodysuit, looking at viewer, open jacket, yellow jacket, arm up, multicolored bodysuit, goth eye liner, wristband, emo punk style, (punk:1.5), jewelry,(dynamic angle), (two fingers showing a peace sign, hand up), depth of field, tattoos, (downtown minneapolis:2),, (best sunlight:.8), (lens flare:.9), wind swept hair, (sidelighting), (volumetric lighting), <lora:ani-cartoon:1>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_brightness:0.3>, <lora:add_saturation:0.2>
Full negative prompt: realistic, portrait, face focus, nsfw, nipples, 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...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.3ms
Speed: 2.9ms preprocess, 8.3ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 1 hand, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ani-cartoon
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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, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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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, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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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, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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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, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ani-cartoon
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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 0.45s
Move latents to cpu...
done in 0.22s
Uploading outputs...
Finished.