Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 46.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: <lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>, (ultra realistic:1.5), (ultra detailed: 1.5), (top quality: 1.5), (masterpiece: 1.5), <lora:add_detail:0.1>
Full negative prompt: ng_deepnegative_v1_75t, EasyNegativeV2
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 (no detections), 8.5ms
Speed: 4.6ms preprocess, 8.5ms inference, 11.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 hand, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 22.9ms 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 0.01s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 (no detections), 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 1st settings.
0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms 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
Finished.
This example was created by evevalentine2017
Finished in 46.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: <lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>, (ultra realistic:1.5), (ultra detailed: 1.5), (top quality: 1.5), (masterpiece: 1.5), <lora:add_detail:0.1>
Full negative prompt: ng_deepnegative_v1_75t, EasyNegativeV2
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 (no detections), 8.5ms
Speed: 4.6ms preprocess, 8.5ms inference, 11.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 hand, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 22.9ms 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 0.01s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 1st settings.
0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 (no detections), 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
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done in 0.0s
0: 640x640 (no detections), 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 1st settings.
0: 640x640 2 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.