image_tune
Maintainer: vetkastar
1
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
image_tune is an AI model developed by vetkastar that applies various image effects and transformations to enhance and manipulate images. This model builds on similar models like fooocus, vtoonify, image-mixer, and rembg-enhance, each of which offer unique image manipulation capabilities.
Model inputs and outputs
image_tune takes an input image and applies a variety of effects to transform it. The model's inputs include parameters for adjusting brightness, contrast, saturation, temperature, and more. It also supports effects like vignette, glitch, and tilt-shift, as well as options for auto-adjusting color and sharpness.
Inputs
- image_path: The input image to be transformed
- brightness: Adjust the brightness of the image
- contrast: Adjust the contrast of the image
- saturation: Adjust the saturation of the image
- temperature: Adjust the temperature of the image
- auto_color_correction: Apply automatic color correction
- auto_white_balance: Apply automatic white balance
- auto_contrast: Apply automatic contrast
- auto_sharpness: Apply automatic sharpness
- sharpness: Adjust the sharpness of the image
- vignette: Apply a vignette effect
- blur: Apply a blur effect
- noise: Apply a noise effect
- chromatic_aberration: Apply chromatic aberration
- exposure_offset: Adjust the exposure offset
- rotate_degrees: Rotate the image by a specified number of degrees
- tilt_shift: Apply a tilt-shift effect
- ascii_effect: Apply an ASCII art effect
- black_and_white: Convert the image to black and white
- sepia: Apply a sepia tone effect
- glitch: Apply a glitch effect
- flip_image: Flip the image horizontally
Outputs
- Output: The transformed image
Capabilities
image_tune can apply a wide range of image effects and transformations, allowing users to significantly modify the appearance and style of their images. It offers granular control over parameters like brightness, contrast, and saturation, as well as more creative effects like vignette, glitch, and tilt-shift. The model's ability to automatically adjust color, sharpness, and white balance can also be useful for enhancing image quality.
What can I use it for?
image_tune can be a valuable tool for a variety of creative and practical applications. Photographers and digital artists can use it to experiment with different visual styles and enhance their images. Marketers and content creators can leverage it to quickly apply consistent branding or mood-setting effects across their visual assets. The model's capabilities could also be useful for applications like image retouching, product photography, and even video post-production.
Things to try
One interesting aspect of image_tune is its ability to combine multiple effects to create unique and unexpected results. By experimenting with different parameter settings, users can discover unexpected visual transformations that could inspire new artistic directions or creative ideas. For example, combining glitch, vignette, and tilt-shift effects could produce a striking, almost surreal image with a vintage or dystopian feel.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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