Laowang's small test

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RealisticLandscape DesignBuildingSpace & SceneObject Enhance
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Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info
Realistic,Landscape Design,Building,LoRA,SD 1.5Image info

Preparing to train a new large-scale model for object detection, this time with a dataset of nearly 200,000 images. Let's see if we can create something magical. Currently conducting dataset testing to determine the quality of this batch of images.

Randomly selected over 1,000 images from the datase* ***ng default parameters for a quick run. It took about an hour and a half, and the results looked pretty good. It's a pity to delete them, so I'm sharing them for download with those who are interested.


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