Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 87.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, action packed, Highly detailed raw polaroid, a gorgeous 35 year old white girl with really wild hair, light makeup, (loose translucent white billowing dress), pubic hair showing, sitting, hair with swirling long curls, intricate long braids, fiery red hair, freckles, confident, face in focus, shallow depth of field, bokeh, delicate face features, beautiful face, (sharp focus), slender thights, fitgirl body, ((low bmi)), detailed hands, (confident smirk), bright blue eyes, rim light at night with sharp shadows, (Joe Madureira), photorealistic, art photography, soft focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, DSLR, 80mm Sigma f2.8 to f8, depth of field or bokeh, natural or dramatic or atmospheric lighting, soft shadows, 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, 158.2ms
Speed: 2.6ms preprocess, 158.2ms inference, 27.9ms 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, 7.8ms
Speed: 2.4ms preprocess, 7.8ms inference, 1.3ms 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, 12.4ms
Speed: 3.1ms preprocess, 12.4ms 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...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 87.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Cinematic, epic, action packed, Highly detailed raw polaroid, a gorgeous 35 year old white girl with really wild hair, light makeup, (loose translucent white billowing dress), pubic hair showing, sitting, hair with swirling long curls, intricate long braids, fiery red hair, freckles, confident, face in focus, shallow depth of field, bokeh, delicate face features, beautiful face, (sharp focus), slender thights, fitgirl body, ((low bmi)), detailed hands, (confident smirk), bright blue eyes, rim light at night with sharp shadows, (Joe Madureira), photorealistic, art photography, soft focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, DSLR, 80mm Sigma f2.8 to f8, depth of field or bokeh, natural or dramatic or atmospheric lighting, soft shadows, 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, 158.2ms
Speed: 2.6ms preprocess, 158.2ms inference, 27.9ms 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, 7.8ms
Speed: 2.4ms preprocess, 7.8ms inference, 1.3ms 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, 12.4ms
Speed: 3.1ms preprocess, 12.4ms 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...
done in 0.0s
Uploading outputs...
Finished.