Extend images using prompts and alignment options
Start an image editing server
Generate and edit images from text instructions
High-fidelity Virtual Try-on
Create and edit images using DDPM and SEGA techniques
Swap a face from one image to another
Improve images with text instructions
Edit and enhance images with custom color and edge modifications
Enhance and upscale images with advanced controls
Enhance faces in an image
Edit images using prompts and change maps
Replace objects in images with new content
A gradio demo for Posterior-Mean Rectified Flow (PMRF)
Flux Fill Outpainting is an AI-powered image editing tool designed to help users extend and expand images beyond their original boundaries. It utilizes advanced algorithms to seamlessly outpaint images, allowing for the creation of larger, more contextually relevant visuals. The tool is particularly useful for creative projects, graphic design, and digital art, where extending images while maintaining consistency is essential.
• AI-Powered Image Extension: Automatically extends images while maintaining contextual accuracy.
• Customizable Prompts: Users can input prompts to guide the outpainting process for desired results.
• Alignment Options: Adjust alignment settings to control how the extension integrates with the original image.
• Multiple Generation Options: Choose from various generation settings to achieve different artistic effects.
• Seamless Integration: Blends extended areas with the original image for a cohesive look.
• User-Friendly Interface: Designed for ease of use, even for users without advanced editing skills.
What file formats does Flux Fill Outpainting support?
Flux Fill Outpainting supports common image formats like PNG, JPG, and TIFF, ensuring compatibility with most creative workflows.
Can I use Flux Fill Outpainting for non-creative purposes, like extending photos?
Yes, Flux Fill Outpainting is versatile and can be used for both creative and practical applications, such as extending photos, backgrounds, or textures.
What if the outpainted result doesn’t match my expectations?
If the result doesn’t meet your expectations, try adjusting the prompts, alignment settings, or generation options. Experimenting with different inputs often yields better results.