EACHLABS
Add customizable color overlays such as sepia, red, green, blue, cyan, magenta, yellow, purple, orange, warm, cool, lime, navy, vintage, rose, teal, maroon, peach, lavender, or olive, with adjustable intensity levels.
Avg Run Time: 0.000s
Model Slug: post-processing-color-tint
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Output
Example Result
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API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
The "post-processing-color-tint" model is an image generator designed to apply customizable color overlays to images, enabling users to add tints such as sepia, red, green, blue, cyan, magenta, yellow, purple, orange, warm, cool, lime, navy, vintage, rose, teal, maroon, peach, lavender, or olive. The model allows for fine-tuned control over the intensity of each tint, making it suitable for both subtle color grading and dramatic stylistic effects. This flexibility is particularly valuable for creative professionals, photographers, and designers seeking to enhance or stylize images without manual editing.
Developed to streamline post-processing workflows, the model leverages advanced image manipulation techniques, likely built on modern neural network architectures optimized for image-to-image translation tasks. Its key differentiator is the breadth of supported color overlays and the ability to precisely adjust their strength, offering a wide palette of creative options. The model is positioned as a versatile tool for both batch and single-image processing, supporting a range of artistic and commercial applications.
Technical Specifications
- Architecture: Image-to-image neural network (specific architecture details not disclosed in public sources)
- Parameters: Not publicly specified
- Resolution: Typically supports standard image resolutions up to 4K; actual maximum may depend on implementation
- Input/Output formats: Common image formats such as JPEG, PNG, and possibly TIFF
- Performance metrics: No formal benchmarks published; user reports indicate fast processing suitable for real-time or near-real-time workflows
Key Considerations
- Choose the tint color and intensity carefully to avoid unnatural or oversaturated results; subtlety often yields more professional outcomes
- For best results, use high-resolution source images to preserve detail after overlay application
- Be mindful of color spill, especially when applying strong tints to images with complex backgrounds or skin tones
- Batch processing can save time for large projects, but always spot-check outputs for consistency
- Adjust intensity incrementally and preview changes to avoid over-editing
- When combining with other post-processing effects (e.g., sharpening, contrast), apply color tints early in the workflow for more predictable results
Tips & Tricks
- Start with a low intensity (10-20%) and gradually increase until the desired effect is achieved
- For vintage or film-like looks, combine sepia or vintage overlays with reduced saturation and slight grain
- Use masks or selection tools to apply tints selectively to specific regions (e.g., background vs. subject)
- For creative projects, layer multiple tints at low intensities to create unique color atmospheres
- When working with portraits, use warm or rose tints for a flattering skin tone, but check for color spill on hair and clothing
- To achieve a cool, modern look, apply teal or navy overlays and pair with increased contrast
- Save custom presets for frequently used color and intensity combinations to streamline future edits
Capabilities
- Applies a wide range of color overlays with adjustable intensity to any image
- Supports both subtle color grading and bold, stylized effects
- Maintains image detail and texture while altering color palette
- Adaptable to various artistic styles, from retro/vintage to modern/minimalist
- Handles batch processing efficiently for large sets of images
- Enables rapid experimentation with different color moods and atmospheres
What Can I Use It For?
- Professional photo editing to achieve consistent color grading across image sets
- Creative projects such as digital art, album covers, and social media visuals
- Business applications including product photography, branding, and marketing materials
- Personal projects like stylizing vacation photos, portraits, or event images
- Industry-specific uses in fashion, beauty, and advertising for mood boards and campaign visuals
- Educational content creation, enabling quick demonstration of color theory and visual storytelling
Things to Be Aware Of
- Some users report that extreme tints can cause unnatural skin tones or color banding, especially on low-resolution images
- Edge cases may occur with images containing highly saturated or monochrome regions, where tints may not blend smoothly
- Performance is generally fast, but very high-resolution images may require more processing time and memory
- Consistency across batches is high, but manual review is recommended for critical projects
- Positive feedback highlights the model’s ease of use, creative flexibility, and ability to save time in post-processing
- Negative feedback occasionally mentions limited control over region-specific tinting without external masking tools
- Experimental features, such as multi-tint layering or adaptive intensity, may not be fully stable in all implementations
Limitations
- Does not offer advanced region-aware tinting natively; selective application requires external tools or manual masking
- May not be optimal for highly technical color correction tasks where precise color science is required
- Extreme or repeated tinting can degrade image quality or introduce artifacts, especially on compressed or low-quality source images
Pricing
Pricing Detail
This model runs at a cost of $0.001000 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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