Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 70.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>
Full negative prompt: ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo
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Decoding latents in cuda:0...
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A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
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0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 28.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
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0: 640x640 1 hand, 7.1ms
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0: 640x640 1 face, 7.6ms
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0: 640x640 (no detections), 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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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0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 70.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3>
Full negative prompt: ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo
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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 1.57s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 28.7ms 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 2 hands, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms 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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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms 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 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms 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 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms 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), 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.