AI Background Changer places the original foreground subject in a newly described environment. Upload one image, describe the scene you want, and generate a cohesive result that keeps the person, product or object recognizable while adapting background perspective, light, shadows and color.
Write the setting in ordinary language, from a neutral studio to an office, home, landscape or stylized campaign scene. You can add mood, materials and time-of-day guidance while the system prompt limits the main edit to the background.
Try it nowThe model is instructed to retain the original identity, pose, clothing, product shape, camera angle and foreground details. This gives the new environment a stable anchor instead of treating the upload as loose inspiration for an entirely different image.
Try it nowA convincing replacement needs more than a new backdrop. The model adjusts generated background perspective, contact shadows, reflected color and edge transitions around the subject, helping the foreground feel present in the new environment rather than pasted over it.
Try it nowDifferent supported models may interpret the same scene description with distinct composition and lighting choices. You can compare them when the foreground is accurate but the first environment feels too busy, too stylized or inconsistent with the intended use.
Try it nowPlace an unchanged product in a clean lifestyle or studio setting appropriate to its shape, material and audience.
Move a portrait into an office, studio or contextual environment while preserving identity, pose, clothing and framing.
Explore alternate environments for an owned hero visual without changing the central person, object or product concept.
Adapt the environment for a seasonal mood while retaining the original foreground and avoiding unrelated props unless requested.
Choose White Background for a fixed clean treatment or Blur Background when the existing scene should remain but soften.
Prototype prompts visually, then use the matching supported model through APIXO for approved repeatable asset generation.
Create contextual product scenes from owned source photography while keeping merchandise details represented consistently.
Explore professional or editorial settings around an existing portrait without intentionally changing the pictured person.
Develop campaign variants for different themes and placements while preserving a recognizable central visual.
Test scene instructions in the workbench before integrating model APIs into authorized creative tooling.
GPT-Image-2.5OpenAIGPT-Image-2OpenAI
Seedream 5.0 ProByteDanceSeedream 5.0ByteDanceSeedream 4.5ByteDance
Nano Banana ProGoogleNano Banana 2GoogleNano BananaGoogle
Qwen Image 3.0 ProAlibabaQwen Image 3.0Alibaba
Flux 2Black Forest LabsFlux KontextBlack Forest Labs
MidjourneyMidjourney
MiniMax Image 01MiniMaxWan 2.6 ImageAlibabaWan 2.5 ImageAlibaba
Grok ImagexAIChoose a clear source where the main person, product or object has visible edges and suitable framing.
Specify environment, materials, mood and light, then name the foreground details that must remain unchanged.
Review subject edges, perspective, shadows, reflections and identity before downloading or refining the scene.
Describe location, materials, mood and lighting instead of relying on a vague request for a nicer background.
State that the person, product or object must remain unchanged when its details are commercially important.
Match the requested camera height and perspective to the source so the new setting feels physically coherent.
Inspect hair, transparent materials, fine edges, reflected colors and contact shadows after every generation.
Use White Background or Blur Background when a constrained treatment is preferable to a fully generated scene.
AI Background Changer is a prompt-guided image editing workflow that generates a new setting around the foreground of one uploaded image. It asks the model to preserve the main subject while rebuilding background pixels, edges, light and shadows for a cohesive result.
Upload the source, describe the desired environment, and identify foreground details that must stay the same. If the description is empty, the tool requests a softly lit neutral studio. Review the generated boundary, perspective and illumination before using the image.
Fine hair, translucent objects, motion blur, reflections and heavily obscured edges can make separation uncertain. The model may also alter foreground details despite the instruction. Check identity, product markings, shape, hands and shadows carefully, and compare supported models for important work.
Use a clear image accepted by the upload control. A well-lit source with visible edges and enough surrounding context gives the model more information to preserve important details. Very small, heavily compressed, blocked or ambiguous areas can make reconstruction and fine lettering less consistent.
Generation uses credits based on the model and parameters selected for the task. The workbench shows an estimate before submission, so you can review the expected charge before starting. Switching models or output settings can change that estimate without changing the purpose of the tool.
Yes. The models that power the workbench are also available through APIXO APIs for developers building repeatable image workflows. The related model pages explain current request fields and response handling. Use the workbench for visual testing, then choose the matching model documentation for integration.
Commercial use depends on your rights to the source image, its people, logos, artwork and other protected material, together with the terms that apply to your selected model and destination. Only upload content you are authorized to edit, and review relevant permissions before publishing or selling the result.
Upload one image, describe the environment you have in mind, and get a cohesive setting generated around the original foreground.
Try it now
