Version: v1.5
Input
Output
This example was created by evevalentine2017
Finished in 47.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.2), (1man, masculine adult male:1.2), turquoise eyes, dark brown hair, shaved head, focus on character, solo, (style-rustmagic:0.8), solo, from front, front view, half shot, detailed face, wild engineer, tentative trust, standing tall, dark red ornate robe, cape, brandishing forbidden mace of thunder, manifesting ethereal strands of power, color-changing surfaces responding to the environment, long-healed scars, <lora:more_details:0.8>
Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
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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, 8.0ms
Speed: 4.8ms preprocess, 8.0ms inference, 33.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 1.6ms 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.
===========================================
done in 0.46s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms 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
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms 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
Finished.
This example was created by evevalentine2017
Finished in 47.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.2), (1man, masculine adult male:1.2), turquoise eyes, dark brown hair, shaved head, focus on character, solo, (style-rustmagic:0.8), solo, from front, front view, half shot, detailed face, wild engineer, tentative trust, standing tall, dark red ornate robe, cape, brandishing forbidden mace of thunder, manifesting ethereal strands of power, color-changing surfaces responding to the environment, long-healed scars, <lora:more_details:0.8>
Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
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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, 8.0ms
Speed: 4.8ms preprocess, 8.0ms inference, 33.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 1.6ms 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.
===========================================
done in 0.46s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms 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
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms 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
Finished.