Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 138.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
Full negative prompt: 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, EasyNegativeV2, unaestheticXL2v10
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0: 640x480 1 face, 158.4ms
Speed: 2.7ms preprocess, 158.4ms inference, 28.2ms postprocess per image at shape (1, 3, 640, 480)
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0: 640x480 1 face, 8.1ms
Speed: 2.6ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 5 faces, 8.1ms
Speed: 2.5ms preprocess, 8.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)
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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 138.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
Full negative prompt: 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, EasyNegativeV2, unaestheticXL2v10
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Decoding latents in cuda:0...
done in 1.75s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 158.4ms
Speed: 2.7ms preprocess, 158.4ms inference, 28.2ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.1ms
Speed: 2.6ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 5 faces, 8.1ms
Speed: 2.5ms preprocess, 8.1ms inference, 2.0ms 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...
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100%|██████████| 19/19 [00:11<00:00, 1.61it/s]
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
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63%|██████▎ | 12/19 [00:07<00:04, 1.61it/s]
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100%|██████████| 19/19 [00:12<00:00, 1.58it/s]
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
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100%|██████████| 19/19 [00:12<00:00, 1.53it/s]
100%|██████████| 19/19 [00:12<00:00, 1.58it/s]
Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
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100%|██████████| 19/19 [00:12<00:00, 1.54it/s]
100%|██████████| 19/19 [00:12<00:00, 1.55it/s]
Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.