Omni Reference

Transform your images using Omni Reference technology. Extract characters, objects, and styles from reference images for accurate AI image generation.

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FAQ

Frequently Asked Questions

Get answers to common questions about Omni Reference. If you have any other questions, please contact us at [email protected]

1

What is Omni Reference?

Omni Reference is an advanced AI feature that allows you to extract and preserve specific visual elements from your reference images. It helps maintain consistency in character appearance, object details, and artistic styles when generating new AI images.

2

How do I use Omni Reference?

Using Omni Reference is simple: 1) Upload your reference image(s), 2) Enter your prompt describing how you want to modify the image, 3) Click 'Generate' button to start the process. The generation typically takes about 3 minutes to complete.

3

What's the difference between Omni Reference and regular image generation?

Omni Reference specializes in preserving and transforming specific elements from your reference images while allowing creative modifications. Unlike regular image generation that creates images from scratch, Omni Reference ensures key visual features from your reference are maintained in the final output.

4

What are the best practices for reference images?

For best Omni Reference results: Use clear, high-quality images with simple backgrounds. Ensure your target elements are clearly visible. You can use multiple reference images for different elements. The reference images should have good lighting and resolution.

5

Why might my Omni Reference not work as expected?

Common issues include: unclear reference images, complex backgrounds interfering with element extraction, conflicting prompts, or trying to preserve too many elements at once. Try using simpler reference images or focusing on fewer specific elements per generation.

6

How can I improve my Omni Reference results?

To optimize results: 1) Use high-quality reference images with clear subjects, 2) Write specific prompts about which elements to preserve, 3) Combine with other parameters thoughtfully, 4) Start with single references before attempting multiple references, 5) Experiment with different prompt formulations to guide the AI's focus.