Juergengunz
Models by this creator
real-esrgan-v2
486
The real-esrgan-v2 model is an AI-powered image upscaling tool created by maintainer juergengunz. It builds upon the popular Real-ESRGAN model, which is known for its ability to enhance images with AI-driven face correction. Similar models include real-esrgan by nightmareai, ultimate-portrait-upscale by juergengunz, and real-esrgan by lucataco. Model inputs and outputs The real-esrgan-v2 model takes an image as input and provides an upscaled and enhanced version of that image as output. Users can control various parameters like the scale factor and whether to enhance the eyes, face, or mouth. Inputs image**: The input image to be upscaled scale**: The factor to scale the image by, up to 2x enhance_eyes**: Whether to enhance the eyes in the image face_enhance**: Whether to enhance the face in the image enhance_mouth**: Whether to enhance the mouth in the image Outputs Output**: The upscaled and enhanced output image Capabilities The real-esrgan-v2 model is capable of significantly improving the quality and detail of images through its powerful upscaling and enhancement capabilities. It can produce visually stunning results, especially for portraits and other images with prominent facial features. What can I use it for? The real-esrgan-v2 model can be useful for a variety of applications, such as enhancing low-resolution images for use in marketing materials, creating high-quality images for social media, or improving the visual quality of images used in presentations or publications. Businesses could potentially use it to improve the visual impact of their digital content. Photographers and digital artists may also find it helpful for enhancing their work. Things to try One interesting aspect of the real-esrgan-v2 model is its ability to selectively enhance specific facial features like the eyes and mouth. This could be useful for creating more dramatic or striking portraits, or for emphasizing particular aspects of a subject's appearance. Experimenting with the different enhancement options could lead to some unique and creative results.
Updated 9/19/2024
ultimate-portrait-upscale
31
ultimate-portrait-upscale is a powerful AI model developed by juergengunz that specializes in upscaling and enhancing portrait images. This model builds upon similar tools like high-resolution-controlnet-tile, real-esrgan, gfpgan, and controlnet-tile, offering advanced features for creating stunning, photorealistic portrait upscales. Model inputs and outputs ultimate-portrait-upscale takes in a portrait image and various configuration parameters to fine-tune the upscaling process. It then generates a high-quality, upscaled version of the input image. Inputs Image**: The input portrait image Positive Prompt**: A text description to guide the upscaling process towards a desired aesthetic Negative Prompt**: A text description to avoid certain undesirable elements in the output Upscale By**: The factor by which to upscale the input image Upscaler**: The specific upscaling method to use Seed**: A random seed value to ensure reproducibility Steps**: The number of iterative refinement steps to perform Denoise**: The amount of noise reduction to apply Scheduler**: The algorithm used to schedule the sampling process Sampler Name**: The specific sampling algorithm to use Controlnet Strength**: The strength of the ControlNet guidance Use Controlnet Tile**: Whether to use the ControlNet tile feature Outputs Upscaled Portrait Image**: The high-quality, upscaled version of the input portrait Capabilities ultimate-portrait-upscale is capable of generating stunning, photorealistic upscales of portrait images. It leverages advanced techniques like ControlNet guidance and tile-based processing to maintain sharp details and natural-looking textures, even when significantly increasing the resolution. What can I use it for? This model is a great tool for enhancing portrait photography, creating high-quality assets for design or advertising, and improving the visual quality of AI-generated portraits. It can be particularly useful for businesses or individuals who need to produce professional-grade portrait images for their products, marketing materials, or other applications. Things to try Experiment with different combinations of prompts, upscaling factors, and ControlNet settings to achieve unique and creative results. You can also try applying additional post-processing techniques, such as face correction or style transfer, to further refine the upscaled portraits.
Updated 9/19/2024
eye-color
2
The eye-color model allows you to modify the color of the eyes (iris) in an image. This can be useful for tasks like image editing, character design, or creating stylized portraits. Compared to similar models like ultimate-portrait-upscale, real-esrgan, and become-image, the eye-color model focuses specifically on adjusting the eye color rather than more general image manipulation or upscaling. Model inputs and outputs The eye-color model takes an input image and several parameters to adjust the eye color, including red, green, blue, and alpha (blending) values, as well as hue shift and blur radius. The output is a new image with the eyes modified according to the specified color settings. Inputs Image**: The input image to modify Red, Green, Blue**: The desired RGB color values for the eyes Alpha**: The alpha value for blending the eye color Hue Shift**: Adjusts the hue of the eye color Blur Radius**: Applies a blur to the eye color Outputs Output Image**: The modified image with the new eye color Capabilities The eye-color model can be used to quickly and easily change the color of the eyes in an image. This can be useful for a variety of applications, such as character design, photo editing, or creating stylized portraits. The model allows for fine-tuning of the eye color, including adjusting the hue, saturation, and blur, to achieve the desired look. What can I use it for? The eye-color model can be a valuable tool for artists, designers, and content creators who need to modify the appearance of eyes in their work. For example, you could use it to create custom character designs with unique eye colors, or to enhance the eyes in portrait photos. The model could also be integrated into image editing workflows or used to generate stock images with a range of eye colors. Things to try One interesting thing to try with the eye-color model is experimenting with different color combinations and settings to create unique and unexpected eye looks. You could also try combining the eye-color model with other image manipulation tools or AI models, such as marigold for depth estimation or gfpgan for face restoration, to create even more sophisticated and polished results.
Updated 5/7/2024