Version: lightning
Input
Output
This example was created by evevalentine2017
Finished in 113.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2>
Full negative prompt: (desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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0: 640x640 9 faces, 8.0ms
Speed: 5.7ms preprocess, 8.0ms inference, 38.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 5 faces, 8.7ms
Speed: 5.3ms preprocess, 8.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 7 faces, 10.4ms
Speed: 4.2ms preprocess, 10.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 113.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2>
Full negative prompt: (desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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Decoding latents in cuda:0...
done in 2.46s
Move latents to cpu...
done in 0.03s
0: 640x640 9 faces, 8.0ms
Speed: 5.7ms preprocess, 8.0ms inference, 38.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 5 faces, 8.7ms
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0: 640x640 7 faces, 10.4ms
Speed: 4.2ms preprocess, 10.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.