Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 99.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:Spring scenery:0.85>, ruanyi0087, lace panties, bare shoulders, fishnet pantyhose, fishnets, corset, solo, 1woman, adorable, cute, clear face, full body, dynamic angle, dynamic posture, detailed shadow, detailed lightning, (wide view, wide-angle lens), high heels,
perfect anatomy, body, face, hand, leg, foot, finger, aqua eyes, multicolor brown sliver hairs, long hair, cleavage, wearing sliver glasses, alluring smile, soft light, light on face, clam posture, cinematic lighting, beautiful detailed woman, glossy pink lips, (milky skin, shiny skin), makeup, blush, eyeliner, eyeshadow, eyelashes, textured skin, collarbone, perfect skin), extremely detailed, CG, 8k Amazing, finely detail, masterpiece, best quality, intricate details, depth of field, bck, indoors, sofa, window, sunlight, cozy, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 26.2ms 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 hand, 7.2ms
Speed: 3.1ms preprocess, 7.2ms inference, 1.3ms 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 0.42s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.4ms 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 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
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 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.4ms 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms 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 hand, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.7ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 99.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:Spring scenery:0.85>, ruanyi0087, lace panties, bare shoulders, fishnet pantyhose, fishnets, corset, solo, 1woman, adorable, cute, clear face, full body, dynamic angle, dynamic posture, detailed shadow, detailed lightning, (wide view, wide-angle lens), high heels,
perfect anatomy, body, face, hand, leg, foot, finger, aqua eyes, multicolor brown sliver hairs, long hair, cleavage, wearing sliver glasses, alluring smile, soft light, light on face, clam posture, cinematic lighting, beautiful detailed woman, glossy pink lips, (milky skin, shiny skin), makeup, blush, eyeliner, eyeshadow, eyelashes, textured skin, collarbone, perfect skin), extremely detailed, CG, 8k Amazing, finely detail, masterpiece, best quality, intricate details, depth of field, bck, indoors, sofa, window, sunlight, cozy, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 26.2ms 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 hand, 7.2ms
Speed: 3.1ms preprocess, 7.2ms inference, 1.3ms 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 0.42s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.4ms 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 (no detections), 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
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 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.4ms 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms 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 hand, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.7ms 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
Uploading outputs...
Finished.