Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 218.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Photorealistic photo, professional quality, best resolution, best details, maximuim realism, skin pores, perfect anatomy, perfect face, perfect illumination, glossy skin, shiny skin, shiny metal, perfect hands, award winning photo, cinematic photo, beautiful, renaissance style stunningly beautiful queenly woman, aristocrat, elegant, (big hair), white silken corset dress, portrait, <lora:xl_big_hair-1.0:1>, realistic, perspective, light and shadow, religious or mythological themes, highly detailed, 35mm photograph, film, bokeh, professional, 4k, highly detailedl, visual perception, Megapixel, ProPhoto RGB, AR, ray tracing, global illumination, Blobby, noise reduction, GLSL shaders, post-processing, tone mapping, <lora:SDXL Detail:1>
Full negative prompt: featureless, colorless, text, watermark
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Decoding latents in cuda:0...
done in 2.35s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.6ms preprocess, 7.7ms inference, 12.8ms 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
0: 640x640 2 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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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, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 3.1ms 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 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 218.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Photorealistic photo, professional quality, best resolution, best details, maximuim realism, skin pores, perfect anatomy, perfect face, perfect illumination, glossy skin, shiny skin, shiny metal, perfect hands, award winning photo, cinematic photo, beautiful, renaissance style stunningly beautiful queenly woman, aristocrat, elegant, (big hair), white silken corset dress, portrait, <lora:xl_big_hair-1.0:1>, realistic, perspective, light and shadow, religious or mythological themes, highly detailed, 35mm photograph, film, bokeh, professional, 4k, highly detailedl, visual perception, Megapixel, ProPhoto RGB, AR, ray tracing, global illumination, Blobby, noise reduction, GLSL shaders, post-processing, tone mapping, <lora:SDXL Detail:1>
Full negative prompt: featureless, colorless, text, watermark
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Decoding latents in cuda:0...
done in 2.35s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.6ms preprocess, 7.7ms inference, 12.8ms 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
0: 640x640 2 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
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done in 0.0s
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100%|██████████| 14/14 [00:13<00:00, 1.25it/s]
100%|██████████| 14/14 [00:13<00:00, 1.03it/s]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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50%|█████ | 7/14 [00:07<00:07, 1.03s/it]
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64%|██████▍ | 9/14 [00:09<00:05, 1.03s/it]
71%|███████▏ | 10/14 [00:10<00:04, 1.03s/it]
79%|███████▊ | 11/14 [00:11<00:03, 1.01s/it]
86%|████████▌ | 12/14 [00:12<00:01, 1.01it/s]
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100%|██████████| 14/14 [00:13<00:00, 1.23it/s]
100%|██████████| 14/14 [00:13<00:00, 1.03it/s]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:02<00:12, 1.08s/it]
21%|██▏ | 3/14 [00:03<00:11, 1.07s/it]
29%|██▊ | 4/14 [00:04<00:10, 1.09s/it]
36%|███▌ | 5/14 [00:05<00:09, 1.08s/it]
43%|████▎ | 6/14 [00:06<00:08, 1.04s/it]
50%|█████ | 7/14 [00:07<00:07, 1.03s/it]
57%|█████▋ | 8/14 [00:08<00:06, 1.03s/it]
64%|██████▍ | 9/14 [00:09<00:05, 1.05s/it]
71%|███████▏ | 10/14 [00:10<00:04, 1.04s/it]
79%|███████▊ | 11/14 [00:11<00:03, 1.03s/it]
86%|████████▌ | 12/14 [00:12<00:02, 1.01s/it]
93%|█████████▎| 13/14 [00:13<00:00, 1.11it/s]
100%|██████████| 14/14 [00:13<00:00, 1.23it/s]
100%|██████████| 14/14 [00:13<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:01<00:14, 1.09s/it]
14%|█▍ | 2/14 [00:02<00:12, 1.07s/it]
21%|██▏ | 3/14 [00:03<00:11, 1.07s/it]
29%|██▊ | 4/14 [00:04<00:10, 1.08s/it]
36%|███▌ | 5/14 [00:05<00:09, 1.08s/it]
43%|████▎ | 6/14 [00:06<00:08, 1.03s/it]
50%|█████ | 7/14 [00:07<00:07, 1.03s/it]
57%|█████▋ | 8/14 [00:08<00:06, 1.04s/it]
64%|██████▍ | 9/14 [00:09<00:05, 1.07s/it]
71%|███████▏ | 10/14 [00:10<00:04, 1.06s/it]
79%|███████▊ | 11/14 [00:11<00:03, 1.04s/it]
86%|████████▌ | 12/14 [00:12<00:02, 1.01s/it]
93%|█████████▎| 13/14 [00:13<00:00, 1.11it/s]
100%|██████████| 14/14 [00:13<00:00, 1.22it/s]
100%|██████████| 14/14 [00:13<00:00, 1.01it/s]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:01<00:14, 1.08s/it]
14%|█▍ | 2/14 [00:02<00:12, 1.06s/it]
21%|██▏ | 3/14 [00:03<00:11, 1.05s/it]
29%|██▊ | 4/14 [00:04<00:10, 1.07s/it]
36%|███▌ | 5/14 [00:05<00:09, 1.06s/it]
43%|████▎ | 6/14 [00:06<00:08, 1.02s/it]
50%|█████ | 7/14 [00:07<00:07, 1.01s/it]
57%|█████▋ | 8/14 [00:08<00:05, 1.00it/s]
64%|██████▍ | 9/14 [00:09<00:05, 1.01s/it]
71%|███████▏ | 10/14 [00:10<00:04, 1.00s/it]
79%|███████▊ | 11/14 [00:11<00:03, 1.00s/it]
86%|████████▌ | 12/14 [00:12<00:01, 1.01it/s]
93%|█████████▎| 13/14 [00:12<00:00, 1.12it/s]
100%|██████████| 14/14 [00:13<00:00, 1.24it/s]
100%|██████████| 14/14 [00:13<00:00, 1.04it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:01<00:14, 1.09s/it]
14%|█▍ | 2/14 [00:02<00:12, 1.08s/it]
21%|██▏ | 3/14 [00:03<00:11, 1.08s/it]
29%|██▊ | 4/14 [00:04<00:10, 1.08s/it]
36%|███▌ | 5/14 [00:05<00:09, 1.07s/it]
43%|████▎ | 6/14 [00:06<00:08, 1.03s/it]
50%|█████ | 7/14 [00:07<00:07, 1.03s/it]
57%|█████▋ | 8/14 [00:08<00:06, 1.02s/it]
64%|██████▍ | 9/14 [00:09<00:05, 1.05s/it]
71%|███████▏ | 10/14 [00:10<00:04, 1.03s/it]
79%|███████▊ | 11/14 [00:11<00:03, 1.02s/it]
86%|████████▌ | 12/14 [00:12<00:01, 1.01it/s]
93%|█████████▎| 13/14 [00:13<00:00, 1.11it/s]
100%|██████████| 14/14 [00:13<00:00, 1.21it/s]
100%|██████████| 14/14 [00:13<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.