Version: v4.0
Input
Output
This example was created by sparks
Finished in 322.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: anime, A giant ice goddess, clothes made of ice, higher than clouds, uses miracles to create blizzards, snow storm, giant whirlwinds, terrible destruction, thunder that descends on the city, light of apocalypse , surreal , detailed , full body , big breasts , sexy , short skirt , pretty legs , white skin , white hair ,, (Detailed face features:1.3), (RAW photo, 16k, masterpiece, best quality: 1.2), (ultra realism, hyper detailed and intricate realism: 1.3), (wide depth of field, radiant mapping, ray tracing, god rays: 1.2),, <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, 155.7ms
Speed: 2.7ms preprocess, 155.7ms inference, 20.9ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 2 hands, 149.4ms
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0: 640x512 1 face, 8.1ms
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0: 640x512 2 hands, 7.7ms
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0: 640x512 1 face, 8.8ms
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0: 640x512 4 hands, 7.9ms
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by sparks
Finished in 322.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: anime, A giant ice goddess, clothes made of ice, higher than clouds, uses miracles to create blizzards, snow storm, giant whirlwinds, terrible destruction, thunder that descends on the city, light of apocalypse , surreal , detailed , full body , big breasts , sexy , short skirt , pretty legs , white skin , white hair ,, (Detailed face features:1.3), (RAW photo, 16k, masterpiece, best quality: 1.2), (ultra realism, hyper detailed and intricate realism: 1.3), (wide depth of field, radiant mapping, ray tracing, god rays: 1.2),, <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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Move latents to cpu...
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0: 640x512 1 face, 155.7ms
Speed: 2.7ms preprocess, 155.7ms inference, 20.9ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
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0: 640x512 2 hands, 149.4ms
Speed: 2.7ms preprocess, 149.4ms inference, 2.6ms 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, 8.1ms
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0: 640x512 2 hands, 7.7ms
Speed: 2.6ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 512)
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0: 640x512 1 face, 8.8ms
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0: 640x512 4 hands, 7.9ms
Speed: 2.6ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.