Prakharsaxena24

masked-upscaler

prakharsaxena24

4

masked-upscaler is an AI model that can selectively upscale and add details to specific areas of an image. It is similar to other upscaler models like upscaler-pro, upscaler, multidiffusion-upscaler, and clarity-upscaler created by prakharsaxena24. These models aim to enhance the resolution and detail of images, often focusing on specific areas rather than upscaling the entire image uniformly. Model inputs and outputs The masked-upscaler model takes several inputs to guide the upscaling and detailing process. These include the original input image, a mask to select the areas to be upscaled, a seed value for reproducibility, and a prompt to control the style and content of the output. Inputs Image**: The input image to be upscaled and detailed. Mask**: A mask image that specifies the areas of the input to be upscaled. Seed**: A numerical seed value to ensure reproducible results. Prompt**: A text prompt that guides the style and content of the upscaled output. Scale Factor**: The factor by which the image should be scaled up. Num Inference Steps**: The number of steps to perform during the upscaling process. Outputs Upscaled Image**: The final output image with the selected areas upscaled and detailed. Capabilities The masked-upscaler model can selectively enhance specific regions of an image, while leaving the rest of the image unchanged. This can be useful for tasks like portrait editing, where you may want to sharpen and add detail to a person's face while preserving the background. What can I use it for? You can use the masked-upscaler model to improve the quality and detail of your images, particularly in areas of interest. This could be helpful for creative projects, content creation, or even professional photo editing workflows. By focusing the upscaling on specific regions, you can achieve more natural-looking results compared to uniformly upscaling the entire image. Things to try One interesting aspect of the masked-upscaler model is the ability to use different prompts to control the style and appearance of the upscaled regions. You can experiment with prompts that emphasize details, realism, or artistic flair to see how they affect the output. Additionally, you can try using different mask shapes and sizes to target specific areas of interest within your images.

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