Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 173.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: soft lighting, Fujifilm XT5, full focus background, DSLR, 8k UHD, RAW photo, high quality, film grain, UHD, photorealistic:1.4, raw photo:1.2, HDR, best quality, masterpiece, crystal clear, sharp focus, studio lighting, photon mapping, professional colour grading, 1 woman with an athletic body wearing a white shroud, masterpiece, best quality, 1girl, ultra high res, full body, smile:1.01, multiple poses, sword, weapon, katana, gun, holding gun, assault rifle, shell casing, trigger discipline, firing, holding weapon, finger on trigger, full focus background, dystopian fusion cyberpunk city background, bloodmagic artifact, bloodmagic large spell, bloodmagic aura<lora:BloodMagic-20:0.75>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 4.6ms preprocess, 7.6ms inference, 25.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 2.4ms 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.
===========================================
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0: 640x640 1 face, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.7ms 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, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.0ms
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 173.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: soft lighting, Fujifilm XT5, full focus background, DSLR, 8k UHD, RAW photo, high quality, film grain, UHD, photorealistic:1.4, raw photo:1.2, HDR, best quality, masterpiece, crystal clear, sharp focus, studio lighting, photon mapping, professional colour grading, 1 woman with an athletic body wearing a white shroud, masterpiece, best quality, 1girl, ultra high res, full body, smile:1.01, multiple poses, sword, weapon, katana, gun, holding gun, assault rifle, shell casing, trigger discipline, firing, holding weapon, finger on trigger, full focus background, dystopian fusion cyberpunk city background, bloodmagic artifact, bloodmagic large spell, bloodmagic aura<lora:BloodMagic-20:0.75>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 4.6ms preprocess, 7.6ms inference, 25.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 2.4ms 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.
===========================================
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0: 640x640 1 face, 7.5ms
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0: 640x640 1 face, 7.6ms
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0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.7ms 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...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.9ms 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 3 hands, 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 1.8ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.