1Step 01
Describe Your Image
Write down your prompt and, if you like, add one reference image to guide the style, composition, or subject.
Write your prompt hereStudio shot of the product on a clean neutral background
AI image generator
Direct the scene your way. Create visuals with intentional angles, depth, and style
1
Upload your photo and tell us what you imagine
Combining both gives the best results
2
Enjoy your image brought to life by AI
FLUX.1 Kontext Max: AI image editor
A context-aware image tool for U. S. teams that need fast iterations, controlled edits, and repeatable outputs—without guessing what changed between versions.
How it works
How do you generate an image with Kontext Max?
From a written idea to a finished image — no setup, no plugins, no Discord.
2Step 02
Choose Format And Count
Pick an aspect ratio (9:16, 21:9, 16:9, 4:3) and how many variations to create at once (up to 4). Generate a batch and keep the ones you like.
Aspect ratioNumber of generations
16:9
4
3Step 03
Generate And Download
Click generate. Kontext Max returns your images in seconds. Download what you like, or refine the prompt and run it again.
Generating…
What it can do
What can Kontext Max do?
How the workflow runs from input to output
Kontext Max starts with a target image and an instruction that describes the change to make (for example: replace the background, adjust lighting, or update wardrobe). Users can add a reference face to preserve identity while the model edits the scene. The output is a new image version that can be iterated with follow-up prompts to refine details and reduce drift.
Where teams use it in real production
Marketing teams use the tool to localize creatives—swap backgrounds, update on-image text, and keep the subject consistent across multiple ad sizes. E-commerce teams generate cleaner product scenes and seasonal variants while preserving the original item silhouette. Creators and agencies use it for rapid concepting when they need multiple on-brand options from one starting image.
Quality checks before you publish or ship
To verify results, teams typically zoom-check faces, hands, logos, and readable text for artifacts introduced during edits. For brand work, they compare the new version against the original to confirm the requested change happened and nothing else unintentionally shifted. If a detail drifts, a targeted follow-up instruction (or a stronger reference image) usually corrects it in the next run.
How it fits alongside popular APIs and alternatives
This model is positioned for teams that want a single place to run target-plus-reference edits and iterate quickly with consistent context. When choosing, the practical trade-off is control versus speed: API-first stacks can be more customizable, while an integrated tool can reduce setup and iteration time.
Generate a clean first draft, then refine with context
Upload a target image, add an optional reference, and describe the exact change you want. The tool returns an edited version you can iterate on immediately, making it easier to converge on a final asset for ads, product pages, or social. For teams that need automation, Cleep AI also supports API-based workflows to scale the same process across batches.
FAQ
What do people ask about Kontext Max?
It’s commonly used as a front-end workflow for target-image edits and variations, then teams replicate the same steps in ComfyUI when they need node-level control. The key is keeping the same inputs (target, reference, instruction) and validating outputs with side-by-side comparisons. Teams use it for high-quality iterations when they need controlled edits from a starting image rather than purely text-to-image exploration. Output quality still depends on the clarity of the instruction and the strength of the reference image. 1 (Dev) experiments for repeatability. A quick verification step is to test the same instruction across 2–3 runs to check stability. The decision often comes down to whether they want a managed editing workflow or full control over hosting and inference settings.