Flux Redux Dev is an open-weight image model developed by Black Forest Labs. It enables the creation of new versions of images while preserving key elements of the original. This model is particularly useful for tasks such as product photography, image editing, and content creation.

Model Architecture: Flux Redux Dev is built upon the FLUX.1 framework, designed for image variation tasks.

Input Requirements for Flux Redux Dev: Accepts images in standard formats with adjustable parameters for customization.

Output Capabilities: Generates high-quality image variations based on the provided input and parameters.

• Content Sensitivity: Ensure that the input images comply with ethical guidelines and do not contain sensitive or inappropriate content.
• Resource Management: Be mindful of computational resources, especially when generating multiple high-resolution outputs.
• Parameter Tuning: Experiment with different parameter settings to achieve the desired balance between image quality and processing efficiency.

Legal Information

By using this Flux Redux Dev, you agree to:

• Black Forest Labs Privacy Policy
• Black Forest Labs Terms of Service

• Aspect Ratio: Selecting an appropriate aspect ratio enhances the composition of the generated images. For example, 1:1 is ideal for portraits, while 16:9 suits landscapes.
• Number of Inference Steps: A higher number of inference steps (e.g., 40-50) can improve image quality but will increase processing time.
• Guidance Scale: A guidance scale between 7 and 8 often yields a good balance between adherence to the original image and introducing creative variations.
• Output Quality: For JPEG format, an output quality setting between 90 and 100 ensures high-quality images with minimal compression artifacts.
• Megapixels: Choosing a higher megapixel setting (e.g., 1) results in higher resolution images but requires more processing time and resources.

Image Variation: Generates diverse variations of the input image while maintaining core elements.

Customization: Offers adjustable parameters to fine-tune the output according to user preferences.

• Image Variations – Generate multiple versions of an image while maintaining its core structure.
• Product Photography Enhancements – Modify lighting, colors, and textures while keeping the original product recognizable.
• Concept Art & Design Iterations – Create multiple artistic variations to explore different styles and compositions.
• Social Media Content – Adjust images for various platform aspect ratios and aesthetics.
• Photo Restoration & Improvement – Enhance image details and correct minor flaws while preserving realism.

Experiment with Aspect Ratios – Test different aspect ratios (e.g., 1:1 for social media, 16:9 for cinematic looks) to see how compositions change.

Optimize Inference Steps – Use a higher number of steps (e.g., 30–50) for detailed and refined outputs, or lower steps (e.g., 10–20) for faster results.

Adjust Guidance for Control – Set guidance between 3–7 for balanced creativity; higher values make the output more faithful to the original image.

Improve Image Sharpness with Output Quality – Increase output quality closer to 100 for high-fidelity results; reduce it to save processing time.

Test Different Megapixel Settings – Use 0.25 MP for quick previews and 1 MP for high-resolution outputs.

Input Dependency: The quality of the output is heavily dependent on the quality of the input image.

Computational Load: Generating multiple high-resolution images can be resource-intensive and time-consuming.

Content Restrictions: The Flux Redux Dev may not perform well with images containing complex patterns or excessive noise.

Output Format: PNG,JPG,WEBP