Version: v6.0
Input
Output
This example was created by evevalentine2017
Finished in 128.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: photo of a beautiful Caucasian girl with exquisite feminine beauty, she is standing on a mountain with a view on a vineyards and fields softly illuminated by the distant sunset, she is wearing a (colorful summer dress:1.2), she has short hair, she is looking at the viewer with a gentle smile, the sky is cloudy, the weather is sunny, it is a warm summer evening, <lora:more_details:0.8>, [hourglass body figure, consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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0: 640x640 2 hands, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 11.2ms
Speed: 2.9ms preprocess, 11.2ms 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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0: 640x640 1 face, 7.5ms
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
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0: 640x640 1 hand, 7.0ms
Speed: 2.6ms preprocess, 7.0ms 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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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 128.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: photo of a beautiful Caucasian girl with exquisite feminine beauty, she is standing on a mountain with a view on a vineyards and fields softly illuminated by the distant sunset, she is wearing a (colorful summer dress:1.2), she has short hair, she is looking at the viewer with a gentle smile, the sky is cloudy, the weather is sunny, it is a warm summer evening, <lora:more_details:0.8>, [hourglass body figure, consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:04<00:01, 2.45it/s]
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
Move latents to cpu...
done in 0.23s
0: 640x640 2 hands, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:04<00:01, 2.34it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.11it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 11.2ms
Speed: 2.9ms preprocess, 11.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:04<00:01, 2.40it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.13it/s]
100%|██████████| 14/14 [00:05<00:00, 2.45it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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79%|███████▊ | 11/14 [00:04<00:01, 2.43it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.19it/s]
100%|██████████| 14/14 [00:05<00:00, 2.47it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:04<00:01, 2.44it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.21it/s]
100%|██████████| 14/14 [00:05<00:00, 2.47it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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71%|███████▏ | 10/14 [00:04<00:01, 2.31it/s]
79%|███████▊ | 11/14 [00:04<00:01, 2.44it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.14it/s]
100%|██████████| 14/14 [00:05<00:00, 2.45it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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64%|██████▍ | 9/14 [00:04<00:02, 2.19it/s]
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79%|███████▊ | 11/14 [00:04<00:01, 2.42it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.17it/s]
100%|██████████| 14/14 [00:05<00:00, 2.43it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:04<00:01, 2.48it/s]
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100%|██████████| 14/14 [00:05<00:00, 3.23it/s]
100%|██████████| 14/14 [00:05<00:00, 2.49it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.