flux-2-max corresponds to Black Forest Labs' FLUX.2 [max], an image generation and editing model in the FLUX.2 series designed for high-quality final outputs. It places particular emphasis on executing complex instructions, visual consistency before and after editing, and faithful rendering of different styles, making it suitable for brand key visuals, product scene images, and refined creative production. On this platform, you can generate new images with text or edit them using an original image link.
Submit requests to the public API at api.acedata.cloud using the documented parameters, then use the results in your application.
api.acedata.cloudflux-2-maxInput parameters and result formats vary by service. Use the public API for this model and follow its guide for generation, task retrieval and editing operations.
FLUX.2 [max]'s native positioning emphasizes quality and consistency; calls on this platform use text, image links, ratio settings, and image result delivery.
When an image includes requirements for the subject, background, lighting, and style at the same time, max's advantage lies in its strong prompt adherence. You can describe product placement, camera angle, material rendering, and elements that must not be changed separately, making the generation target clearer and suiting professional creative work that needs to meet multiple visual constraints simultaneously.
max treats editing consistency as a core strength, making it suitable for further revisions based on an existing visual concept. After providing an original image, you can request adjustments to the scene, clothing, or image atmosphere while explicitly preserving subject characteristics and compositional relationships. It is better suited to refining the same work than simply regenerating a similar image.
From realistic product photography to illustration-style advertising, max emphasizes faithful expression of different visual styles. Prompts can specifically describe materials, color tones, period feel, and visual language instead of merely saying “premium feel.” Combined with the FLUX.2 series' detail and spatial rendering, it can be used to explore images with a clear design direction.
Input a product image and a description of the target scene, for example, placing a bottled product on a cool-toned bathroom countertop while preserving the packaging appearance and adjusting the ambient lighting. Create a scene image in edit mode, then check the branding and outlines. It can be used for e-commerce campaign images, brand proposals, and alternative advertising visuals.
Start with a complete text brief describing the theme, subject placement, background layers, brand color direction, and reserved copy area to generate landscape or portrait key visuals. max is suitable for exploring concepts with extensive composition and style requirements; the delivered images can continue into design tools for layout and final production.
Use a selected concept image as editing input, focusing on one goal per round, such as replacing the background, adjusting clothing materials, or changing the overall color tone, while clearly specifying the people and composition to retain. It is suitable for visual teams to continually refine an established direction, reducing the work of starting over from blank prompts each round.
If the task focuses on executing complex instructions, editing consistency, and style reproduction, prioritize flux-2-max. FLUX.2 [pro] places greater emphasis on balancing production-grade quality and speed, making it suitable for everyday asset creation; max is better suited for critical advertising visuals, fine edits, and stages with higher final-image requirements, so not all draft tasks need to be concentrated on it.
max excels in overall performance and cross-task editing consistency, but if the core challenge is text layout, labels, or small visual elements, also compare FLUX.2 [flex], which is positioned more toward these specialized tasks. When choosing, use the same brief to evaluate subject retention, detail clarity, and style expression; this is more valuable than judging by model names alone.
For text-to-image, specify the subject, materials, lighting, and aspect ratio; for modifying an existing image, prepare image_url and clearly describe what to change and retain.
Submit model=flux-2-max, action=generate, prompt, and size=16:9 to /flux/images; when editing an image, choose edit and add the image URL; count is only used for generation.
Save the returned image_url; for asynchronous tasks, query via task_id or configure callback_url. Compare key elements before and after edits, then use the final image in subsequent design work.
Preserve the people, trench coat, and street layout in the original image, changing only to a rainy-night cinematic photography style with wet-ground reflections and blue-orange lighting; keep the person's pose unchanged.
Compare against the original image and check the pose, clothing, and scene structure item by item; the official series' web-context capabilities cannot replace the actual available parameters of this entry point.
max is better suited for tasks that prioritize overall quality, complex prompt execution, and editing consistency; pro emphasizes a balance between quality and speed. For large volumes of everyday assets, compare pro first; for key hero visuals or work that requires repeated fine-tuning, try max first.
Yes. When calling it, select action=edit and provide image_url, prompt, and size in aspect-ratio format. The prompt should describe the specific changes and indicate the subject or composition that needs to be preserved. After completion, obtain the result through the returned image link; count does not apply to editing tasks.
This model uses image aspect ratios, for example, enter 1:1 for a square image, 16:9 for a landscape image, and 9:16 for a portrait image. Do not enter pixel dimensions such as 1024x1024; both generation and editing requests should explicitly provide size and describe the composition around the target canvas ratio.
It is recommended to keep design tools for final layout work. max can participate in visual creation that includes text, but precise labels, long copy, and small-font content need to be checked; when text and details are the priority, you can also compare flex. The final version should proofread the text, positioning, and product information.
Submit model=flux-2-max to POST /flux/images, and provide the operation, prompt, and aspect ratio. You can use async=true to obtain task_id and then check progress, or configure callback_url to receive the completed result, then read image_url in data to deliver the image.
Choose a development approach or application suited to this model and follow its setup guide.
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$0.0628· per generation
You pay$13,584for 142,800 credits · $0.0951 / credits46% OFF
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This is only a basic call example. See the full docs for more parameters and advanced usage.
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