Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 94.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, professional photography, maximum hyperrealism, photorealism, action packed, 1girl, portrait of beautiful paladin lady, athletic, white hair, braid, dark blue eyes, golden armor, red cape, looking at viewer, castle indoors, candles, bookshelf, 16K, high quality, photorealistic, realism, art photography, Nikon D850, 16k, sharp focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, DSLR, 80mm Sigma f2, depth of field, intricate natural lighting, film grain, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, OverallDetail, <lora:add-detail-xl:1.0>
Full negative prompt: cartoon, anime, render, cg, 3D, desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, epiCNegative
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Decoding latents in cuda:0...
done in 1.78s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 171.2ms
Speed: 2.6ms preprocess, 171.2ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.5ms
Speed: 2.4ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.1ms
Speed: 2.5ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.57s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 94.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, professional photography, maximum hyperrealism, photorealism, action packed, 1girl, portrait of beautiful paladin lady, athletic, white hair, braid, dark blue eyes, golden armor, red cape, looking at viewer, castle indoors, candles, bookshelf, 16K, high quality, photorealistic, realism, art photography, Nikon D850, 16k, sharp focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, DSLR, 80mm Sigma f2, depth of field, intricate natural lighting, film grain, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, OverallDetail, <lora:add-detail-xl:1.0>
Full negative prompt: cartoon, anime, render, cg, 3D, desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, epiCNegative
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Decoding latents in cuda:0...
done in 1.78s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 171.2ms
Speed: 2.6ms preprocess, 171.2ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.5ms
Speed: 2.4ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.1ms
Speed: 2.5ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.57s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.