Version: v3
Input
Output
This example was created by evevalentine2017
Finished in 73.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a royal throne, royal throne room, pink thighhighs, (blue royal dress, red royal miniskirt), strapless, suggestive pose, romantic, solo, detailed eyes, looking at viewer, golden tiara, royal room, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, arched neck, looking at viewer playfully, smirk, low key, dimly lit, (short blonde hair, laced hair:1.2) <lora:crown_braid-1.0-0.7> <lora:epi_noiseoffset2:1>, (best quality:1.5), (masterpiece:1.5)
Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 32.0ms 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, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.9ms 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 73.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a royal throne, royal throne room, pink thighhighs, (blue royal dress, red royal miniskirt), strapless, suggestive pose, romantic, solo, detailed eyes, looking at viewer, golden tiara, royal room, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, arched neck, looking at viewer playfully, smirk, low key, dimly lit, (short blonde hair, laced hair:1.2) <lora:crown_braid-1.0-0.7> <lora:epi_noiseoffset2:1>, (best quality:1.5), (masterpiece:1.5)
Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms 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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done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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Couldn't find network with name crown_braid-1.0-0.7
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.