Version: cd2fec9
Input
Output
This example was created by evevalentine2017
Finished in 112.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: Facing away, bazaars, portrait of 1 beautiful young woman, atmospheric atmosphere, illustration of jupiter clouds by dan mumford, thick outlines, best quality, <lora:GemstoneAI-000010:0.5> GemstoneAI, road, blends seamlessly with the surrounding environment, surrealism, (8k, ((female))), capturing every detail of this serene and immersive landscape, field, upper body, bloom, knotted roots, (retro bomber jacket 80s), 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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.83s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.2ms
Speed: 4.6ms preprocess, 8.2ms inference, 29.4ms 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 (no detections), 7.9ms
Speed: 3.2ms preprocess, 7.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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
0: 640x640 (no detections), 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 8.2ms
Speed: 3.8ms preprocess, 8.2ms inference, 2.0ms 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 2 hands, 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 2.2ms 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
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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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 19.4ms postprocess per image at shape (1, 3, 640, 640)
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This example was created by evevalentine2017
Finished in 112.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: Facing away, bazaars, portrait of 1 beautiful young woman, atmospheric atmosphere, illustration of jupiter clouds by dan mumford, thick outlines, best quality, <lora:GemstoneAI-000010:0.5> GemstoneAI, road, blends seamlessly with the surrounding environment, surrealism, (8k, ((female))), capturing every detail of this serene and immersive landscape, field, upper body, bloom, knotted roots, (retro bomber jacket 80s), 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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.83s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.2ms
Speed: 4.6ms preprocess, 8.2ms inference, 29.4ms 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 (no detections), 7.9ms
Speed: 3.2ms preprocess, 7.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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
0: 640x640 (no detections), 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 8.2ms
Speed: 3.8ms preprocess, 8.2ms inference, 2.0ms 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...
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0: 640x640 2 hands, 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 2.2ms 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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 19.4ms postprocess per image at shape (1, 3, 640, 640)
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