Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 44.1 seconds
v1.0: Pulling from evevalentine2017/anime-3d-mix
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
8390a71a9c98: Pull complete
92381cb92c39: Pull complete
649d14ab5434: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: pale skin, blue eyes, cute face, upper body photo, extremely detailed, freckles, intricate, clear focus, sharp focus, perfect face, very deep eyes, pointy ears, golden armor, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 9.2ms
Speed: 3.4ms preprocess, 9.2ms inference, 36.2ms 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 0.47s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 21.0ms
Speed: 3.7ms preprocess, 21.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 3 faces, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 2.3ms 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 0.4s
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 44.1 seconds
v1.0: Pulling from evevalentine2017/anime-3d-mix
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
8390a71a9c98: Pull complete
92381cb92c39: Pull complete
649d14ab5434: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: pale skin, blue eyes, cute face, upper body photo, extremely detailed, freckles, intricate, clear focus, sharp focus, perfect face, very deep eyes, pointy ears, golden armor, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 9.2ms
Speed: 3.4ms preprocess, 9.2ms inference, 36.2ms 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 0.47s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 21.0ms
Speed: 3.7ms preprocess, 21.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 3 faces, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 2.3ms 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 0.4s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.