Version: v4.0
Input
Output
This example was created by sparks
Finished in 194.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: photo realistic, 1girl, arm support, black hair, breasts, closed eyes, dress, earrings, jewelry, lips, long hair, long sleeves, lying, makeup, realistic, robe, sash, see-through, simple background, sitting, solo, white dress, <lora:add-detail-xl:1.5>
Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
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0: 640x512 1 face, 171.5ms
Speed: 2.7ms preprocess, 171.5ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 2 hands, 103.8ms
Speed: 2.7ms preprocess, 103.8ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 1 face, 8.0ms
Speed: 2.6ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 1 hand, 7.6ms
Speed: 2.5ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 1 face, 8.0ms
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0: 640x512 2 hands, 7.8ms
Speed: 2.5ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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Uploading outputs...
Finished.
This example was created by sparks
Finished in 194.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: photo realistic, 1girl, arm support, black hair, breasts, closed eyes, dress, earrings, jewelry, lips, long hair, long sleeves, lying, makeup, realistic, robe, sash, see-through, simple background, sitting, solo, white dress, <lora:add-detail-xl:1.5>
Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
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Decoding latents in cuda:0...
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0: 640x512 1 face, 171.5ms
Speed: 2.7ms preprocess, 171.5ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 2 hands, 103.8ms
Speed: 2.7ms preprocess, 103.8ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 1 face, 8.0ms
Speed: 2.6ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 1 hand, 7.6ms
Speed: 2.5ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x512 1 face, 8.0ms
Speed: 2.5ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512)
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100%|██████████| 11/11 [00:10<00:00, 1.23it/s]
100%|██████████| 11/11 [00:10<00:00, 1.04it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x512 2 hands, 7.8ms
Speed: 2.5ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512)
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100%|██████████| 11/11 [00:10<00:00, 1.25it/s]
100%|██████████| 11/11 [00:10<00:00, 1.04it/s]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
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100%|██████████| 11/11 [00:10<00:00, 1.24it/s]
100%|██████████| 11/11 [00:10<00:00, 1.03it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.