Version: v3.0
Input
Output
This example was created by sparks
Finished in 104.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Using seed 2683213504
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: nsfw, analog style, model shoot style, RAW photo ((portrait:1.8)) of a (young girl:1.5), ((colorful photo:1.5)), (long hair, multicolored hair:1.7), ((cute face: 1.7, perfect face:1.3)), looking at viewer, (shiny body:1.5, pale skin:1.5), best quality, epic (by lee jeffries and quentin tarantino photo, sony a7, 50 mm, pores:1.5, colors, hyperdetailed:1.5, film grain:1.4, hyperrealistic: 1.5), hyper-realistic lifelike texture, masterpiece, unreal engine 5, Extremely detailed CG unity 8k wallpaper, realistic eyes, UHD, HDR, DSLR, Madly detailed photo, (ecstasy of light and shadow, deep shadow), (Winner of the Pulitzer Prize for Photography and Taylor Wessing Photographic Prize), <lora:add-detail-xl:1.5>
Full negative prompt: (worst quality:2, low quality:2), (deformed, distorted, disfigured), (bad eyes, wrong lips, weird mouth, bad teeth, mutated hands and fingers:1.2), (bad anatomy), wrong anatomy, amputation, extra limb, missing limb, floating limbs, disconnected limbs, mutation, ugly, disgusting, (signature, watermark, username, blurry, artist name), asian
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Decoding latents in cuda:0...
done in 3.32s
Move latents to cpu...
done in 0.04s
0: 640x640 1 face, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.11s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.11s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 3.6ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.12s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 3.2ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.
This example was created by sparks
Finished in 104.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Using seed 2683213504
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: nsfw, analog style, model shoot style, RAW photo ((portrait:1.8)) of a (young girl:1.5), ((colorful photo:1.5)), (long hair, multicolored hair:1.7), ((cute face: 1.7, perfect face:1.3)), looking at viewer, (shiny body:1.5, pale skin:1.5), best quality, epic (by lee jeffries and quentin tarantino photo, sony a7, 50 mm, pores:1.5, colors, hyperdetailed:1.5, film grain:1.4, hyperrealistic: 1.5), hyper-realistic lifelike texture, masterpiece, unreal engine 5, Extremely detailed CG unity 8k wallpaper, realistic eyes, UHD, HDR, DSLR, Madly detailed photo, (ecstasy of light and shadow, deep shadow), (Winner of the Pulitzer Prize for Photography and Taylor Wessing Photographic Prize), <lora:add-detail-xl:1.5>
Full negative prompt: (worst quality:2, low quality:2), (deformed, distorted, disfigured), (bad eyes, wrong lips, weird mouth, bad teeth, mutated hands and fingers:1.2), (bad anatomy), wrong anatomy, amputation, extra limb, missing limb, floating limbs, disconnected limbs, mutation, ugly, disgusting, (signature, watermark, username, blurry, artist name), asian
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Decoding latents in cuda:0...
done in 3.32s
Move latents to cpu...
done in 0.04s
0: 640x640 1 face, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.11s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.11s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 3.6ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 1.12s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 3.2ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.