Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 54.2 seconds
Setting up the model...
Processing...
Using seed 3472449122
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, intricate details, highres), posing (very submissive:1.3), lying on stomach, supporting head on hands, cute face, seducive look, 18 years old girl, professional photo of a petite women (wearing sexy lingerie and high heels:1.2), (focus on face, shallow focus:1.2), perfect body, perfect hands, deep black long hair, (hands hidden in long hair:1.2), heavy makeup, bright bedroom, 4k,studio lighting, in the style of RdBJ-9500,film grain, (masterpiece:1.5), (top quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2), negative_hand-neg, EasyNegativeV2, Unspeakable-Horrors-Composition-4v
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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 1.56s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.4ms preprocess, 7.9ms inference, 29.2ms 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
0: 640x640 1 face, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 1.4ms 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 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.7ms 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
Finished.
This example was created by evevalentine2017
Finished in 54.2 seconds
Setting up the model...
Processing...
Using seed 3472449122
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, intricate details, highres), posing (very submissive:1.3), lying on stomach, supporting head on hands, cute face, seducive look, 18 years old girl, professional photo of a petite women (wearing sexy lingerie and high heels:1.2), (focus on face, shallow focus:1.2), perfect body, perfect hands, deep black long hair, (hands hidden in long hair:1.2), heavy makeup, bright bedroom, 4k,studio lighting, in the style of RdBJ-9500,film grain, (masterpiece:1.5), (top quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2), negative_hand-neg, EasyNegativeV2, Unspeakable-Horrors-Composition-4v
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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 1.56s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.4ms preprocess, 7.9ms inference, 29.2ms 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
0: 640x640 1 face, 8.2ms
Speed: 2.8ms preprocess, 8.2ms inference, 1.4ms 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 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.7ms 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
Finished.