Version: cd2fec9
Input
Output
This example was created by evevalentine2017
Finished in 126.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (realistic), (masterpiece, best quality),(solo),(android), walking in narrow corridor, (android), ((by hajime sorayama)), (metallic skin:1.2), metal skin, metallic body, standing , visor, helmet, pointy breasts, nude, narrow, pipes, machinery, darkness, happy, smiling, intricate biomechanical detail,( hands behind head)
<lora:hajime_sorayama_finetuned:0.85>, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_detail:1.0>, <lora:add_brightness:0.1>, <lora:add_saturation:0.2>
Full negative prompt: monochrome, deformed, bad anatomy, disfigured, words, logo, text, mutated hands, mutated fingers, cropped, signature, censured, crop, extra fingers, asiatic, cartoon, animate, Eye deformation, hand deformation, finger deformation, Worst quality, low quality, irreal, painting, plastic skin, drawing, anime, Low definition, deformed face, Deformed eyes, watermark, signature, (watermark, (b&w)), poorly drawn hands, (extra legs:1.2), 3d, cartoon, (EasyNegativeV2:1.2), Deformed, cropped, ugly, elf, malformed limbs, bad proportions, BadDream, (((extra arms))), bad hands, (bad quality:1.35, (grayscale)), worst quality, nsfw, anime, ((bad art), worst quality:1.4), extra digit, ((poorly drawn face)), verybadimagenegative_v1.3, (fused fingers), missing facial features, disgusting, extra fingers, pixelated, (monochrome:1.1, (bad anatomy), medium quality:1.4), realisticvision-negative-embedding
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
Speed: 3.4ms preprocess, 7.4ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms 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 hand, 7.4ms
Speed: 3.2ms 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 1 face, 8.8ms
Speed: 2.8ms preprocess, 8.8ms inference, 2.1ms 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, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.6ms 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 0.43s
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0: 640x640 1 face, 8.0ms
Speed: 3.8ms preprocess, 8.0ms 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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Move latents to cpu...
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0: 640x640 2 hands, 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 2.8ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 126.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (realistic), (masterpiece, best quality),(solo),(android), walking in narrow corridor, (android), ((by hajime sorayama)), (metallic skin:1.2), metal skin, metallic body, standing , visor, helmet, pointy breasts, nude, narrow, pipes, machinery, darkness, happy, smiling, intricate biomechanical detail,( hands behind head)
<lora:hajime_sorayama_finetuned:0.85>, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_detail:1.0>, <lora:add_brightness:0.1>, <lora:add_saturation:0.2>
Full negative prompt: monochrome, deformed, bad anatomy, disfigured, words, logo, text, mutated hands, mutated fingers, cropped, signature, censured, crop, extra fingers, asiatic, cartoon, animate, Eye deformation, hand deformation, finger deformation, Worst quality, low quality, irreal, painting, plastic skin, drawing, anime, Low definition, deformed face, Deformed eyes, watermark, signature, (watermark, (b&w)), poorly drawn hands, (extra legs:1.2), 3d, cartoon, (EasyNegativeV2:1.2), Deformed, cropped, ugly, elf, malformed limbs, bad proportions, BadDream, (((extra arms))), bad hands, (bad quality:1.35, (grayscale)), worst quality, nsfw, anime, ((bad art), worst quality:1.4), extra digit, ((poorly drawn face)), verybadimagenegative_v1.3, (fused fingers), missing facial features, disgusting, extra fingers, pixelated, (monochrome:1.1, (bad anatomy), medium quality:1.4), realisticvision-negative-embedding
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.4ms
Speed: 3.4ms preprocess, 7.4ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.02s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 3.2ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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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, 8.8ms
Speed: 2.8ms preprocess, 8.8ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.6ms 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 0.43s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 8.0ms
Speed: 3.8ms preprocess, 8.0ms inference, 1.7ms 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 2 hands, 8.7ms
Speed: 3.2ms preprocess, 8.7ms inference, 2.8ms 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...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.