Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 88.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: mj, Best Quality, cinematic, close-up, demon with goat head with big horns, strong and strong upper body, demon skins, skins, (claws, wings)), demonic armor, blood splatter, skulls on the ground, standing in blood ritual, medieval, dark room, dim light, masterpiece, realistic, oil painting Gabriele Dell'otto, AI Midjourney, bright saturated colors, watercolor, oil paints, 500px, 4k,oil paint
Full negative prompt: ugly, deformed, noisy, blurry, distorted, out of focus, bad anatomy, extra limbs, poorly drawn face, poorly drawn hands, missing fingers, umbrella, nude, nsfw, text, letters, too many feet, too many fingers, (((2 heads))), duplicate, abstract, disfigured, deformed, toy, figure, framed, disfigured, bad art, deformed, poorly drawn, extra limbs, weird colors, 2 heads, long neck, elongated body, cropped image, out of frame, draft, deformed hands, twisted fingers, double image, malformed hands, multiple heads, extra limb, ugly, poorly drawn hands, missing limb, cut-off, over satured, grain, lowres, bad anatomy, poorly drawn face, mutation, mutated, floating limbs, disconnected limbs, out of focus, long body, disgusting, extra fingers, groos proportions, missing arms, mutated hands, cloned face, missing legs, ugly, deformed, noisy, blurry, distorted, grainy
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 4.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 face, 8.7ms
Speed: 3.3ms preprocess, 8.7ms inference, 12.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.3ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 88.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: mj, Best Quality, cinematic, close-up, demon with goat head with big horns, strong and strong upper body, demon skins, skins, (claws, wings)), demonic armor, blood splatter, skulls on the ground, standing in blood ritual, medieval, dark room, dim light, masterpiece, realistic, oil painting Gabriele Dell'otto, AI Midjourney, bright saturated colors, watercolor, oil paints, 500px, 4k,oil paint
Full negative prompt: ugly, deformed, noisy, blurry, distorted, out of focus, bad anatomy, extra limbs, poorly drawn face, poorly drawn hands, missing fingers, umbrella, nude, nsfw, text, letters, too many feet, too many fingers, (((2 heads))), duplicate, abstract, disfigured, deformed, toy, figure, framed, disfigured, bad art, deformed, poorly drawn, extra limbs, weird colors, 2 heads, long neck, elongated body, cropped image, out of frame, draft, deformed hands, twisted fingers, double image, malformed hands, multiple heads, extra limb, ugly, poorly drawn hands, missing limb, cut-off, over satured, grain, lowres, bad anatomy, poorly drawn face, mutation, mutated, floating limbs, disconnected limbs, out of focus, long body, disgusting, extra fingers, groos proportions, missing arms, mutated hands, cloned face, missing legs, ugly, deformed, noisy, blurry, distorted, grainy
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 4.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 face, 8.7ms
Speed: 3.3ms preprocess, 8.7ms inference, 12.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.3ms 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
Uploading outputs...
Finished.