Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 112.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: Masterpiece, best quality, 1girl, Tibetan girl, sitting by the bonfire, surrounded by vast grasslands, Tibetan tent, traditional clothes, braids, peaceful atmosphere, mountainous backdrop, camping trip, authentic cultural experience, night sky full of stars, crackling fire sounds, quiet whispers, hushed conversations, Tibetan tea, warm blankets, tranquil silence, crisp air, soulful melodies, traditional musical instruments, a sense of belonging, bonding with nature, quiet reflection, <lora:Tibetan_v1:0.9>, HDR+,, <lora:add_saturation:0.2>
Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, logo, signature, username, error, cropped, watermark, shota, flat chest
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0: 640x640 2 faces, 16.4ms
Speed: 6.5ms preprocess, 16.4ms inference, 59.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.9ms
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0: 640x640 4 faces, 7.1ms
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0: 640x640 3 hands, 7.0ms
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0: 640x640 4 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 6 hands, 8.8ms
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 112.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: Masterpiece, best quality, 1girl, Tibetan girl, sitting by the bonfire, surrounded by vast grasslands, Tibetan tent, traditional clothes, braids, peaceful atmosphere, mountainous backdrop, camping trip, authentic cultural experience, night sky full of stars, crackling fire sounds, quiet whispers, hushed conversations, Tibetan tea, warm blankets, tranquil silence, crisp air, soulful melodies, traditional musical instruments, a sense of belonging, bonding with nature, quiet reflection, <lora:Tibetan_v1:0.9>, HDR+,, <lora:add_saturation:0.2>
Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, logo, signature, username, error, cropped, watermark, shota, flat chest
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0: 640x640 2 faces, 16.4ms
Speed: 6.5ms preprocess, 16.4ms inference, 59.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.9ms
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0: 640x640 1 face, 7.4ms
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80%|████████ | 12/15 [00:02<00:00, 5.05it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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80%|████████ | 12/15 [00:02<00:00, 5.02it/s]
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Decoding latents in cuda:0...
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73%|███████▎ | 11/15 [00:02<00:00, 4.89it/s]
80%|████████ | 12/15 [00:02<00:00, 4.91it/s]
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Decoding latents in cuda:0...
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67%|██████▋ | 10/15 [00:01<00:00, 5.06it/s]
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80%|████████ | 12/15 [00:02<00:00, 5.08it/s]
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100%|██████████| 15/15 [00:02<00:00, 4.96it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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40%|████ | 6/15 [00:01<00:01, 4.68it/s]
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73%|███████▎ | 11/15 [00:02<00:00, 4.86it/s]
80%|████████ | 12/15 [00:02<00:00, 4.91it/s]
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100%|██████████| 15/15 [00:03<00:00, 4.83it/s]
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Decoding latents in cuda:0...
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80%|████████ | 12/15 [00:02<00:00, 4.89it/s]
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100%|██████████| 15/15 [00:03<00:00, 4.98it/s]
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Decoding latents in cuda:0...
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80%|████████ | 12/15 [00:02<00:00, 5.01it/s]
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100%|██████████| 15/15 [00:02<00:00, 4.91it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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60%|██████ | 9/15 [00:01<00:01, 4.99it/s]
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80%|████████ | 12/15 [00:02<00:00, 5.00it/s]
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Decoding latents in cuda:0...
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73%|███████▎ | 11/15 [00:02<00:00, 4.81it/s]
80%|████████ | 12/15 [00:02<00:00, 4.80it/s]
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100%|██████████| 15/15 [00:03<00:00, 4.95it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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47%|████▋ | 7/15 [00:01<00:01, 4.86it/s]
53%|█████▎ | 8/15 [00:01<00:01, 4.85it/s]
60%|██████ | 9/15 [00:01<00:01, 4.74it/s]
67%|██████▋ | 10/15 [00:02<00:01, 4.77it/s]
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80%|████████ | 12/15 [00:02<00:00, 4.85it/s]
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100%|██████████| 15/15 [00:03<00:00, 4.87it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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80%|████████ | 12/15 [00:02<00:00, 4.83it/s]
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100%|██████████| 15/15 [00:03<00:00, 4.95it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 6 hands, 8.8ms
Speed: 3.6ms preprocess, 8.8ms inference, 1.5ms 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...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.