Version: b2d0816
Input
Output
This example was created by evevalentine2017
Finished in 277.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (bokeh, depth of field:1.2), 8k, hdr, unity, wallpaper, (1girl, solo), colorful, vivid colors, moody, mood lighting, (cinematic lighting), cinematic, (dark skin, black skin, ebony:1.2), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, colored hair, (hi-top fade:1.3), natural breasts, (female dj), luminescent choker, luminescent belt, night club, white short, striped panties, short shorts, dj disc jockey, dj disc player, neon lights, neon clothes, headphones, smile, (one eye closed), (winking \(animated\):1.2), (hands on head), looking at viewer, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 4.4ms preprocess, 7.7ms inference, 37.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.3ms
Speed: 3.2ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
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0: 640x640 1 face, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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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Move latents to cpu...
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0: 640x640 5 faces, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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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
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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This example was created by evevalentine2017
Finished in 277.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (bokeh, depth of field:1.2), 8k, hdr, unity, wallpaper, (1girl, solo), colorful, vivid colors, moody, mood lighting, (cinematic lighting), cinematic, (dark skin, black skin, ebony:1.2), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, colored hair, (hi-top fade:1.3), natural breasts, (female dj), luminescent choker, luminescent belt, night club, white short, striped panties, short shorts, dj disc jockey, dj disc player, neon lights, neon clothes, headphones, smile, (one eye closed), (winking \(animated\):1.2), (hands on head), looking at viewer, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 4.4ms preprocess, 7.7ms inference, 37.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.3ms
Speed: 3.2ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
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0: 640x640 1 face, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.0ms 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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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 5 faces, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 2.2ms 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.
===========================================
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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