Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 76.5 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), semi-realistic, bochen, guweiz, masterpiece, highres, highly detailed, (Post-apoc, ostapoc_character, postapoc_scenery), ((sitting, holding arm, holding own arm, bleeding, blood, bleeding from the arm, hiding, hiding behind cover)), ruined_cityscape, cityscape, overgrown, dark, cloudy, (hazmat, hazmat_suit), 1boy, (snowing, snow), holding weapon, assault rifle, hood, gloves, armor, road<lora:ApocalypseEngine:0.8>, city, volumetric light, glossy skin, shiny metal, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:-0.1>, <lora:add_brightness:0.2>, <lora:contrast_slider_v10:-0.4>, <lora:add_saturation:0.3>
Full negative prompt: nsfw, nipples, topless, low quality, lowres, worst quality, normal quality, earth, land, oversized hairstyle, bad-image-v2-39000, By bad artist -neg, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
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0: 640x640 2 faces, 8.3ms
Speed: 5.6ms preprocess, 8.3ms inference, 34.6ms 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 0.23s
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done in 0.0s
0: 640x640 2 faces, 8.3ms
Speed: 3.3ms preprocess, 8.3ms inference, 2.4ms 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 0.24s
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done in 0.0s
0: 640x640 2 faces, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 2.0ms 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 0.45s
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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, 8.5ms
Speed: 3.4ms preprocess, 8.5ms inference, 2.5ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 76.5 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), semi-realistic, bochen, guweiz, masterpiece, highres, highly detailed, (Post-apoc, ostapoc_character, postapoc_scenery), ((sitting, holding arm, holding own arm, bleeding, blood, bleeding from the arm, hiding, hiding behind cover)), ruined_cityscape, cityscape, overgrown, dark, cloudy, (hazmat, hazmat_suit), 1boy, (snowing, snow), holding weapon, assault rifle, hood, gloves, armor, road<lora:ApocalypseEngine:0.8>, city, volumetric light, glossy skin, shiny metal, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:-0.1>, <lora:add_brightness:0.2>, <lora:contrast_slider_v10:-0.4>, <lora:add_saturation:0.3>
Full negative prompt: nsfw, nipples, topless, low quality, lowres, worst quality, normal quality, earth, land, oversized hairstyle, bad-image-v2-39000, By bad artist -neg, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 8.3ms
Speed: 5.6ms preprocess, 8.3ms inference, 34.6ms 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 2 faces, 8.3ms
Speed: 3.3ms preprocess, 8.3ms inference, 2.4ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 2.0ms 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 0.45s
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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, 8.5ms
Speed: 3.4ms preprocess, 8.5ms inference, 2.5ms 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
Uploading outputs...
Finished.