PixelFlow allows you to use all these features
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Segmented Creation Workflow
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customized Output
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Layering Different Models
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Workflow APIs
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
GPT-Image-1 Edit: Precision Image Editing with the Power of Language and Vision
GPT-Image-1 Edit is OpenAI’s powerful inpainting and multi-reference image editing model that brings Photoshop-like control into the realm of natural language. Built for developers, creators, and AI toolmakers, it enables detailed visual edits, image composition, and object-level replacements—all guided by intuitive prompts. Whether you're modifying product shots, refining creative assets, or combining multiple visual inputs into a single composition, GPT-Image-1 Edit makes it seamless.
How It Works
Unlike the standard image generation model, GPT-Image-1 Edit focuses on transforming existing images. It supports four core editing capabilities:
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Inpainting with Masks: Upload an image and a corresponding mask (with an alpha channel). The model uses the prompt to fill the transparent areas of the mask with entirely new content—ideal for object replacement, background changes, or localized edits.
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Multi-Image Composition: Upload multiple reference images and describe how they should be combined. GPT-Image-1 Edit intelligently merges them into a single, coherent image. For example, uploading a soap bar, bath bomb, and lotion can generate a photorealistic gift basket.
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Style-Guided Transformation: Use one or more images to define the visual style, and let the model adapt another image accordingly.
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Partial Overwrites: Provide an image and ask the model to modify specific elements—like changing the sky in a landscape or replacing a product label.
The API uses standard multipart/form-data for image uploads and supports images up to 25MB with alpha channels for masks. Like the generation model, output can be customized in terms of format (PNG, JPEG, WebP), background transparency, and compression levels.
Use Cases and Applications
- Marketing & Product Imagery: Instantly update packaging, create seasonal variants, or adapt visuals for different campaigns
- eCommerce: Showcase products in different scenes, colors, or setups without redoing photoshoots
- Editorial: Retouch or recompose photos with better framing, lighting, or subject arrangement
- UI/UX & Game Design: Tweak icons, characters, or assets in existing compositions without starting from scratch
- Creative Tools: Build powerful AI-powered editors or creative apps with intuitive prompt-based editing
Why It Matters
GPT-Image-1 Edit blurs the line between generative and traditional design tools. It empowers creators to edit with words, reduce manual retouching time, and generate asset variants rapidly. With its fine control over visual composition and the ability to combine references, it becomes a core building block for next-gen design tools, AI-assisted workflows, and content platforms looking to scale visual operations.
Other Popular Models
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fooocus
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codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
sd2.1-faceswapper
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
