How it works FLUX Fill Pro?
FLUX Fill Pro is a Black Forest Labs model designed for editing existing images: it fills a selected area based on a text description, removes and replaces objects, and extends the frame beyond its borders while preserving the lighting, textures, and perspective of the original. Transitions are seamless, making the results suitable for professional work, not just drafts. In BotHub, the model is accessible from Russia without a VPN or foreign card: you pay with a Russian card in rubles based on usage, and unused balances do not expire. With over 250 models available in the same window, you can generate an original image with one neural network and refine it with this one. We offer a unified API for product tasks, and for companies, we provide contracts, invoices, and an admin panel with limits. FLUX Fill Pro helps photographers and retouchers remove unwanted details and restore damaged fragments, marketplace sellers replace product backgrounds and extend borders for card formats, designers expand layouts for banners or stories, and editorial/SMM teams quickly adapt one illustration for multiple platforms.Frequently asked questions about FLUX Fill Pro
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
flux-fill-pro is a FLUX-line model for inpainting and replacing image fragments: you mark an area in the frame, describe what you want in text, and the model integrates the result. It is suitable for removing unwanted objects, replacing details, extending backgrounds, and precise retouching based on references.
You receive a raster image as output. The model redraws only the selected area, striving to preserve the light, texture, and style of the original frame, so the size and proportions are usually inherited from the uploaded image. Up to 4095 context tokens are available for the description.
No separate reasoning before answering is noted in our data: it is a generative image model; it does not unfold a chain of thought or write explanations. Think through the scene logic yourself, and in the prompt, describe exactly what should appear in the selected area.
Function calling and structured JSON are not noted for flux-fill-pro in our data — the result is an image, not a text object. However, the model is available via the unified OpenAI-compatible BotHub API, so integrating it into your product is straightforward.
Images — yes, this is the main scenario: you provide the source frame and the area to be redrawn or replaced. Audio and video input are not noted in our data, so count on the combination of an image plus a text description.
The BotHub interface, support, and payment are in Russian and in rubles, without VPN or foreign cards. Formulate the prompt for filling the area briefly and specifically: what the object is, material, lighting. If the result goes off-track, simplify the description and repeat the generation.