Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 31.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Masterpiece, best quality, professional photo, full body epic photographic action shot of Gladiator of Nuceria,(broad shoulders, tall, muscular male, angry, red facepaint, butchersnail, cape, man, warrior, masculine, sharp facial features, detailed matte skin texture, skin imperfections, skin pores, realistic skin, detailed eyes, detailed pupils, outdoors, medium close-up shot, male focus, upper body, topless male, pectorals, abs, arena in the background, colosseum, antiquity, rome, wide-angle shot, soft lighting, subsurface scattering, cinematic color grading, 4k, ultra HD artwork, unreal engine 5 creation, rendered in stunning 8k ultra HD resolution
Full negative prompt: (long neck), long torso, long arms, long legs, blur, blurry, worst quality, low quality, jpeg artifacts, poorly drawn, bad art, weird eyes, extra limb, missing limb, floating limbs, deformed, bad eyes, crossed eyes, disfigured, mutation, ugly, face distortion
0%| | 0/5 [00:00<?, ?it/s]
20%|██ | 1/5 [00:01<00:05, 1.29s/it]
40%|████ | 2/5 [00:02<00:03, 1.27s/it]
60%|██████ | 3/5 [00:03<00:02, 1.27s/it]
80%|████████ | 4/5 [00:05<00:01, 1.27s/it]
100%|██████████| 5/5 [00:06<00:00, 1.26s/it]
100%|██████████| 5/5 [00:06<00:00, 1.27s/it]
Decoding latents in cuda:0...
done in 2.39s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640)
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33%|███▎ | 1/3 [00:01<00:02, 1.32s/it]
67%|██████▋ | 2/3 [00:02<00:01, 1.22s/it]
100%|██████████| 3/3 [00:03<00:00, 1.18s/it]
100%|██████████| 3/3 [00:03<00:00, 1.20s/it]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.7ms
Speed: 3.4ms preprocess, 8.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/3 [00:00<?, ?it/s]
33%|███▎ | 1/3 [00:01<00:02, 1.02s/it]
67%|██████▋ | 2/3 [00:02<00:01, 1.07s/it]
100%|██████████| 3/3 [00:02<00:00, 1.04it/s]
100%|██████████| 3/3 [00:02<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/3 [00:00<?, ?it/s]
33%|███▎ | 1/3 [00:00<00:01, 1.58it/s]
67%|██████▋ | 2/3 [00:01<00:00, 1.60it/s]
100%|██████████| 3/3 [00:01<00:00, 1.61it/s]
100%|██████████| 3/3 [00:01<00:00, 1.60it/s]
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 31.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Masterpiece, best quality, professional photo, full body epic photographic action shot of Gladiator of Nuceria,(broad shoulders, tall, muscular male, angry, red facepaint, butchersnail, cape, man, warrior, masculine, sharp facial features, detailed matte skin texture, skin imperfections, skin pores, realistic skin, detailed eyes, detailed pupils, outdoors, medium close-up shot, male focus, upper body, topless male, pectorals, abs, arena in the background, colosseum, antiquity, rome, wide-angle shot, soft lighting, subsurface scattering, cinematic color grading, 4k, ultra HD artwork, unreal engine 5 creation, rendered in stunning 8k ultra HD resolution
Full negative prompt: (long neck), long torso, long arms, long legs, blur, blurry, worst quality, low quality, jpeg artifacts, poorly drawn, bad art, weird eyes, extra limb, missing limb, floating limbs, deformed, bad eyes, crossed eyes, disfigured, mutation, ugly, face distortion
0%| | 0/5 [00:00<?, ?it/s]
20%|██ | 1/5 [00:01<00:05, 1.29s/it]
40%|████ | 2/5 [00:02<00:03, 1.27s/it]
60%|██████ | 3/5 [00:03<00:02, 1.27s/it]
80%|████████ | 4/5 [00:05<00:01, 1.27s/it]
100%|██████████| 5/5 [00:06<00:00, 1.26s/it]
100%|██████████| 5/5 [00:06<00:00, 1.27s/it]
Decoding latents in cuda:0...
done in 2.39s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/3 [00:00<?, ?it/s]
33%|███▎ | 1/3 [00:01<00:02, 1.32s/it]
67%|██████▋ | 2/3 [00:02<00:01, 1.22s/it]
100%|██████████| 3/3 [00:03<00:00, 1.18s/it]
100%|██████████| 3/3 [00:03<00:00, 1.20s/it]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.7ms
Speed: 3.4ms preprocess, 8.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/3 [00:00<?, ?it/s]
33%|███▎ | 1/3 [00:01<00:02, 1.02s/it]
67%|██████▋ | 2/3 [00:02<00:01, 1.07s/it]
100%|██████████| 3/3 [00:02<00:00, 1.04it/s]
100%|██████████| 3/3 [00:02<00:00, 1.02it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/3 [00:00<?, ?it/s]
33%|███▎ | 1/3 [00:00<00:01, 1.58it/s]
67%|██████▋ | 2/3 [00:01<00:00, 1.60it/s]
100%|██████████| 3/3 [00:01<00:00, 1.61it/s]
100%|██████████| 3/3 [00:01<00:00, 1.60it/s]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.