Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 54.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: award winning wildlife (medium long shot:1.4), 35mm film movie still, ultra photorealistic, photorealism,(ragdoll cat, fat body ,big round eyes,round head.round face, cute, smile)looking at viewer, taken with hasselblad H6D 100c, the HCD 24mm lens, hazy mood, cinematic dramatic lighting, cold muted colors, (DOF:1.4),, sharp focus, (perfect real extremely details), amazing fine detail, absurdres, hyper realistic lifelike texture, dramatic lighting, <lora:Mr_ragdoll:1>, HDR+, no humans, , <lora:add_saturation:0.2>
Full negative prompt: ((humans)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((more than 2 hands:2)), ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, logo, signature, username, error, cropped, watermark, shota, flat chest
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.6ms preprocess, 7.7ms inference, 32.6ms 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), 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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, 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.5ms 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), 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms 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 54.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: award winning wildlife (medium long shot:1.4), 35mm film movie still, ultra photorealistic, photorealism,(ragdoll cat, fat body ,big round eyes,round head.round face, cute, smile)looking at viewer, taken with hasselblad H6D 100c, the HCD 24mm lens, hazy mood, cinematic dramatic lighting, cold muted colors, (DOF:1.4),, sharp focus, (perfect real extremely details), amazing fine detail, absurdres, hyper realistic lifelike texture, dramatic lighting, <lora:Mr_ragdoll:1>, HDR+, no humans, , <lora:add_saturation:0.2>
Full negative prompt: ((humans)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((more than 2 hands:2)), ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, logo, signature, username, error, cropped, watermark, shota, flat chest
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.6ms preprocess, 7.7ms inference, 32.6ms 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), 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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, 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.5ms 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), 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.6ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.