Version: v1.2
Input
Output
This example was created by evevalentine2017
Finished in 54.2 seconds
v1.2: Pulling from evevalentine2017/aw-painting
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
c1fb5f975aa9: Pull complete
ea0a9032fd40: Pull complete
33ccd7aaefdb: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: masterpiece, best quality, 1girl,red flame background, red hair, Long curly hair, face front, ((red fashion silk lone costume with blue swirling vortexes pattern)), emotional face, (close up portrait), make up, studio light, studio fire flame effect
Full negative prompt: nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 4.9ms preprocess, 7.8ms inference, 33.7ms 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, 7.8ms
Speed: 2.8ms preprocess, 7.8ms 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, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms 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, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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 0.44s
Move latents to cpu...
done in 0.22s
Finished.
This example was created by evevalentine2017
Finished in 54.2 seconds
v1.2: Pulling from evevalentine2017/aw-painting
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
c1fb5f975aa9: Pull complete
ea0a9032fd40: Pull complete
33ccd7aaefdb: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: masterpiece, best quality, 1girl,red flame background, red hair, Long curly hair, face front, ((red fashion silk lone costume with blue swirling vortexes pattern)), emotional face, (close up portrait), make up, studio light, studio fire flame effect
Full negative prompt: nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 4.9ms preprocess, 7.8ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 2.8ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms 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, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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 0.44s
Move latents to cpu...
done in 0.22s
Finished.