Version: v2.0
Input
Output
This example was created by sparks
Finished in 121.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: (full body:1.8), a woman with long hair holding a chainsaw, anime epic artwork, pinterest anime, scary angry pose, streaming on twitch, cgsociety , damaged japanese clothes, realistic , very very anime!!!, it is night time, north korean slasher, defiant, ((best quality)), ((masterpiece)), detailed soft oil painting, detailed background, dramatic cinematic lighting, soft edge lighting, professional, dramatic lighting, hard edge lighting, ultra quality, 4k,(masteriece, best quality, 8k, ultra highres, highres:1.4), extremely detailed , <lora:add-detail-xl:1.0>
Full negative prompt: cartoon,anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text,word,usernamre,watermark,logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, muscular, over saturated
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Decoding latents in cuda:0...
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0: 576x640 1 face, 154.5ms
Speed: 3.1ms preprocess, 154.5ms inference, 28.6ms postprocess per image at shape (1, 3, 576, 640)
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0: 576x640 (no detections), 104.9ms
Speed: 3.0ms preprocess, 104.9ms inference, 0.9ms postprocess per image at shape (1, 3, 576, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 576x640 1 face, 10.1ms
Speed: 3.0ms preprocess, 10.1ms inference, 1.9ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 2 hands, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 1 face, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 2 hands, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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done in 0.0s
Uploading outputs...
Finished.
This example was created by sparks
Finished in 121.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: (full body:1.8), a woman with long hair holding a chainsaw, anime epic artwork, pinterest anime, scary angry pose, streaming on twitch, cgsociety , damaged japanese clothes, realistic , very very anime!!!, it is night time, north korean slasher, defiant, ((best quality)), ((masterpiece)), detailed soft oil painting, detailed background, dramatic cinematic lighting, soft edge lighting, professional, dramatic lighting, hard edge lighting, ultra quality, 4k,(masteriece, best quality, 8k, ultra highres, highres:1.4), extremely detailed , <lora:add-detail-xl:1.0>
Full negative prompt: cartoon,anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text,word,usernamre,watermark,logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, muscular, over saturated
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Decoding latents in cuda:0...
done in 2.85s
Move latents to cpu...
done in 0.03s
0: 576x640 1 face, 154.5ms
Speed: 3.1ms preprocess, 154.5ms inference, 28.6ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 (no detections), 104.9ms
Speed: 3.0ms preprocess, 104.9ms inference, 0.9ms postprocess per image at shape (1, 3, 576, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 576x640 1 face, 10.1ms
Speed: 3.0ms preprocess, 10.1ms inference, 1.9ms postprocess per image at shape (1, 3, 576, 640)
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0: 576x640 2 hands, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 576, 640)
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0: 576x640 1 face, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 576, 640)
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Decoding latents in cuda:0...
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0: 576x640 2 hands, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640)
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100%|██████████| 10/10 [00:06<00:00, 1.56it/s]
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.