Image to Image AI uses an uploaded visual as context for a newly generated version shaped by your written direction. Keep the useful subject or composition, describe what should change, compare compatible models, and review the estimated cost before creating a transformed result.
An uploaded image gives the model concrete information about the subject, broad layout, color relationships, and visual identity. That is useful when a blank prompt would leave too many decisions open, but the existing asset still needs a new scene, treatment, or direction.
Try it nowState what must remain recognizable and what may change, such as the background, lighting, wardrobe, material, illustration style, or atmosphere. A clear revision brief helps the model distinguish protected visual anchors from areas where creative interpretation is welcome.
Try it nowSwitch among image models that expose image-led modes and keep the same source available for comparison. Each model can weigh the reference and text differently, so a second interpretation may solve identity, composition, detail, or style problems without changing the whole workflow.
Try it nowUse Text to Image when no source should constrain the composition, or continue a chosen result through Background Changer and AI Image Upscaler. Those related paths turn broad generative revision into a connected sequence of creation, targeted editing, and delivery preparation.
Try it nowReinterpret an authorized source as a different photographic, illustrative, editorial, or conceptual direction while retaining useful visual cues.
Place a subject in another environment and describe how surrounding light, weather, props, and atmosphere should respond.
Ask for another crop, viewpoint, balance, or amount of negative space when the selected model supports the intended change.
Explore campaign settings and presentation directions while checking every result for accurate product shape, labels, and distinguishing details.
Use a clear reference to guide recognizable traits, then verify faces, clothing, accessories, and repeated design elements across outputs.
See the actual upload slots and controls for the selected model rather than assuming every image generator accepts identical reference inputs.
Explore seasonal, regional, or channel-specific directions from an approved source while preserving the elements that make the campaign recognizable.
Prototype lighting, set, wardrobe, or treatment changes before deciding which ideas justify a reshoot or detailed manual composite.
Draft contextual product scenes and placement variants, then verify the item carefully or move to purpose-built product editing tools.
Evaluate how supported models balance prompt instructions and reference fidelity before implementing the corresponding API workflow in a product.
Nano Banana 2Google
GPT-Image-2OpenAI
Seedream 5.0ByteDanceSeedream 5.0 ProByteDanceNano Banana ProGoogle
Flux 2Black Forest Labs
MidjourneyMidjourneyGPT-Image-2.5OpenAIGPT-Image-1OpenAINano BananaGoogleSeedream 4.5ByteDanceFlux KontextBlack Forest Labs
MiniMax Image 01MiniMax
Qwen Image 3.0AlibabaQwen Image 3.0 ProAlibabaWan 2.7 ImageAlibabaWan 2.6 ImageAlibabaWan 2.5 ImageAlibaba
Grok ImagexAIChoose a clear image you own or have permission to transform, with the important subject easy to inspect.
Write a revision brief that protects essential identity and composition while naming the requested transformation.
Choose a compatible model, review its visible inputs and estimate, create the result, and inspect critical details.
Use the clearest authorized source available; compression, blur, tiny subjects, and obstructed details give every model weaker evidence.
Separate preservation instructions from requested changes so the model can identify the visual anchors that matter most.
Keep the first revision focused on one major change before combining new lighting, environment, style, and composition directions.
Inspect faces, hands, logos, labels, product geometry, and small repeated patterns before approving a transformed image.
Compare models with the same source and brief when reference fidelity matters more than discovering unrelated creative variations.
Image to Image AI generates a new visual using an uploaded image and written instructions as context. The source can guide subject identity, composition, color, or style, while the prompt explains the desired change. It is a generative revision workflow, not a guarantee that every source pixel remains unchanged.
Text-led generation begins without a source image, so the prompt carries nearly all of the visual direction. Image-led generation adds reference context that can anchor a subject or layout. Use Text to Image for a fresh composition and Image to Image when an existing visual should influence the new result.
Choose a sharp, well-exposed source where the important subject is large enough to inspect and not heavily obstructed. A simpler composition usually gives clearer guidance than a crowded collage. Upload requirements vary by model, so follow the file controls shown after selecting the model.
No generative model guarantees exact preservation. Identity, text, logos, fine accessories, geometry, and repeated patterns may drift, especially under large pose or scene changes. State the protected elements clearly, keep transformations plausible, compare compatible models, and review the full output before publishing or delivering it.
The charge depends on the chosen model and request parameters. APIXO displays the current estimate in the composer before submission, so you can compare another model or option. A single permanent amount is not stated because providers and supported output settings can change independently.
Commercial use depends on the model terms and on your rights to both the uploaded source and the requested subject matter. Only transform content you own or are authorized to edit. Review the result for privacy, likeness, trademark, copyright, and product accuracy concerns before using it publicly.
The page helps developers evaluate model behavior and visible parameters before integrating. Supported model pages link to API information for their contracts. Preserve the tested model identifier, mode, file requirements, and parameter values when moving from interactive exploration into a production request pipeline.
Upload a source you may edit, explain the intended transformation, compare compatible models, and create a revision you can inspect above.
Try it now
