Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 51.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: <lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing,
Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
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0: 640x640 1 hand, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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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0: 640x640 2 hands, 6.7ms
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.5ms
Speed: 2.7ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 8.7ms
Speed: 2.7ms preprocess, 8.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 51.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: <lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing,
Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
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0: 640x640 1 hand, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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...
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0: 640x640 2 hands, 6.7ms
Speed: 2.5ms preprocess, 6.7ms inference, 1.3ms 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...
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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, 8.5ms
Speed: 2.7ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.7ms
Speed: 2.7ms preprocess, 8.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.