GPT Image 1.5 Edit is now live!
✨ Image Editing

Playground v2.5 Inpainting

Fill in or replace parts of images using masks and text prompts

Example Output

Input

Input Example
Original

Output

Generated

Instructions

"a tiger sitting on a park bench"

Try Playground v2.5 Inpainting

Fill in the parameters below and click "Generate" to try this model

Starting image for inpainting

Mask for inpainting area

Text prompt (be descriptive for best results)

Negative prompt to avoid unwanted elements

Initial image resemblance (0.01-1)

The size of the generated image. Width and height must be between 1024 and 4096

Inference steps (1-65)

CFG scale (0-20)

Number of images (1-8)

Expand prompt with additional prompts

Enable safety checker

Safety checker version

Output format

CFG rescale factor (0-1)

Your inputs will be saved and ready after sign in

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About Playground v2.5 Inpainting

Playground v2.5 Inpainting is a cutting-edge, open-source AI model tailored for high-quality, photorealistic image editing through advanced inpainting techniques. With robust mask support and a host of customizable controls, this model empowers users to seamlessly remove, replace, or enhance specific areas of any image while maintaining visual coherence and aesthetic appeal. Whether you're restoring old photographs, removing unwanted elements, or generating new creative content, Playground v2.5 Inpainting delivers unmatched flexibility and precision. At its core, this model leverages state-of-the-art AI algorithms designed to understand context and texture, ensuring that edited regions blend naturally with the surrounding pixels. Users can upload any starting image and apply a custom mask to specify the exact area for inpainting. The text prompt feature enables detailed creative direction, allowing users to describe the desired outcome with precision. For even greater control, the negative prompt option ensures that unwanted visual elements are actively excluded from the final result. Customization is a standout feature of Playground v2.5 Inpainting. The strength parameter lets users fine-tune how closely the output resembles the original image, ranging from subtle touch-ups to dramatic transformations. The model supports varying image sizes, from standard squares to widescreen formats, with resolutions between 1024 and 4096 pixels. Users can adjust the number of inference steps (1-65) and guidance scale (CFG scale 0-20) for optimal quality and creative control. Batch processing is possible, with support for generating 1 to 8 images in a single run. Playground v2.5 Inpainting also includes advanced options such as prompt expansion, safety checker activation (with selectable versions), output format selection (JPEG or PNG), and even the ability to incorporate custom embeddings. A random seed can be set for reproducibility, ensuring consistent results across multiple sessions. Ideal for digital artists, graphic designers, photographers, content creators, and marketers, this model excels in applications like object removal, creative photo editing, restoration, and content generation. The intuitive interface and extensive parameter controls make it accessible to both beginners and professionals seeking precision and quality in their image-editing workflows. With its pay-as-you-go credit system, users get scalable value tailored to their specific needs, without upfront commitment. Whether you need to retouch images for social media, edit marketing visuals, restore cherished memories, or experiment with creative concepts, Playground v2.5 Inpainting provides the tools you need for professional, high-quality results every time.

✨ Key Features

State-of-the-art AI-powered inpainting with mask support for precise area selection and editing.

Customizable strength control (0.01-1) to adjust how much the output resembles the original image.

Flexible image size options, supporting resolutions from 1024 to 4096 pixels and various aspect ratios.

Supports 1-65 inference steps and a guidance scale (CFG) from 0 to 20 for optimal quality and creative direction.

Batch processing capability, allowing generation of up to 8 images at once.

Negative prompt and prompt expansion features to guide the AI for desired or excluded elements.

Safety checker options with selectable versions to ensure content appropriateness.

💡 Use Cases

Removing unwanted objects or blemishes from photos for professional results.

Restoring and repairing old or damaged photographs by seamlessly filling missing regions.

Creating imaginative edits by replacing masked areas with AI-generated content based on prompts.

Generating multiple creative variations of an image for marketing or design projects.

Enhancing social media visuals by retouching or transforming parts of images.

Preparing product images for e-commerce by cleaning up backgrounds or adding new elements.

Assisting digital artists in rapid prototyping and visual experimentation.

🎯

Best For

Professional designers, digital artists, photographers, marketers, and content creators seeking advanced, customizable image editing capabilities.

👍 Pros

  • Delivers high-quality, photorealistic inpainting with seamless blending.
  • Highly customizable with fine-tuned control over every aspect of the image generation process.
  • Supports multiple safety checker versions to ensure responsible content creation.
  • Batch image generation streamlines creative workflows and increases productivity.
  • Intuitive interface accessible to both beginners and advanced users.
  • Open-source foundation ensures transparency and ongoing improvements.

⚠️ Considerations

  • Requires high-quality mask input and descriptive prompts for best results.
  • Processing times may increase with higher resolution or multiple images.
  • Advanced features may present a learning curve for absolute beginners.

📚 How to Use Playground v2.5 Inpainting

1

Upload your starting image by providing a file or image URL.

2

Add a mask image to define the area you wish to inpaint or edit.

3

Enter a detailed text prompt describing your desired result, and optionally add a negative prompt to exclude unwanted elements.

4

Adjust strength, image size, inference steps, guidance scale, and other parameters as needed for your project.

5

Choose your output format (JPEG or PNG) and set safety checker preferences if required.

6

Click 'Generate' to process the image and review, download, or iterate on the results.

Frequently Asked Questions

🏷️ Related Keywords

AI inpainting image editing object removal photo restoration mask-based editing creative AI tools digital art content creation batch image generation photorealistic editing