Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 268.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (best quality:1.5), (intricate emotional details:1.5), (sharpen details), (ultra detailed), (cinematic lighting), ultra-detailed, cinematic photo shot of a woman blowing a kiss with red neon sign lighting, close up of lips, glares and red reflections, red color, Kodak Portra 800, 105 mm fcolor, style raw, depth of field, close-up, macro shot, eyes focus, beautiful eyes, macro shot, colorful details, natural lighting, analog film, detailed skin, amazing composition, subsurface scattering, velus hairs, amazing textures, filmic, chiaroscuro, soft light, <lora:xl_yamer_style-3.0:0.2>
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.38s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.9ms
Speed: 3.8ms preprocess, 7.9ms inference, 23.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 3.2ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 8.5ms
Speed: 3.0ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
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done in 0.0s
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 268.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, (best quality:1.5), (intricate emotional details:1.5), (sharpen details), (ultra detailed), (cinematic lighting), ultra-detailed, cinematic photo shot of a woman blowing a kiss with red neon sign lighting, close up of lips, glares and red reflections, red color, Kodak Portra 800, 105 mm fcolor, style raw, depth of field, close-up, macro shot, eyes focus, beautiful eyes, macro shot, colorful details, natural lighting, analog film, detailed skin, amazing composition, subsurface scattering, velus hairs, amazing textures, filmic, chiaroscuro, soft light, <lora:xl_yamer_style-3.0:0.2>
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.38s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.9ms
Speed: 3.8ms preprocess, 7.9ms inference, 23.5ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:30<00:00, 1.33s/it]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 3.2ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 8.5ms
Speed: 3.0ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:28<00:00, 1.07s/it]
100%|██████████| 23/23 [00:28<00:00, 1.22s/it]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.