flux-2/pro/text-to-image
Create reliable, studio-grade visuals with precise color and layout control.
Generate and refine high-fidelity images from text or multiple references with precise color control, photo-realistic detail, and consistent typography for professional design and branding tasks.






Flux 2 Dev is a high-fidelity text-to-image model built for structured, realistic synthesis with tight control over palette and typography. Flux 2 Dev preserves layout and material response while turning concise prompts into production-ready visuals. With multi-reference conditioning, Flux 2 Dev keeps brand colors, logos, and composition consistent across variations. Through efficient sampling, adjustable guidance, and deterministic seeding, Flux 2 Dev delivers repeatable results at practical speeds. Flexible aspect ratios make Flux 2 Dev fit common creative and marketing workflows. Key capabilities:
Start with a clear prompt that specifies subject, scene, lighting, palette, camera, and any typography. In Flux 2 Dev, anchor elements with spatial terms and state what must not change to prevent drift. For branding, include color values, font style, and exact text strings. Control adherence with guidance_scale, adjust realism and time with num_inference_steps, and fix repeatability with a seed. Choose an image_size preset or custom dimensions, set output_format for your pipeline, and use acceleration to iterate faster. Prompt expansion can broaden sparse descriptions. Flux 2 Dev favors focused direction, and Flux 2 Dev will preserve composition when constraints are explicit.
Create reliable, studio-grade visuals with precise color and layout control.
Transform visuals with smart region edits and multi-image blending for precise, high-fidelity results.
Edit visuals via text with multi-layer control and style memory.
Edit images with strong prompt control and consistent style using FLUX Kontext Max.
Precise text rendering & multilingual edits for visual pros
AI model boosting portrait detail, restoring textures, and refining tones for high-res imagery.
Flux 2 Dev is an open-weight generative model created by Black Forest Labs that specializes in advanced text-to-image generation and image editing. It allows users to create new images directly from text prompts or modify existing ones while maintaining realism and stylistic consistency.
Compared to older models like FLUX.1 Dev, Flux 2 Dev offers major improvements in text-to-image realism, better handling of multiple image references, sharper detail, and more accurate text rendering. It also supports up to 10 reference images and outputs up to about 4 megapixels.
Flux 2 Dev offers free trial credits for new users via the Runcomfy AI playground. After that, additional text-to-image generations require credits, which can be purchased or earned depending on the platform’s credit policy.
Flux 2 Dev is ideal for artists, designers, marketers, and studios needing consistent visual branding, realistic mockups, or creative image generation. Its text-to-image capability is especially valuable for those in design, advertising, and digital art who require control over color, layout, and references.
Users can expect highly photorealistic results from Flux 2 Dev’s text-to-image engine, characterized by precise lighting, textures, and readable text. The model’s 32-billion-parameter architecture ensures fidelity and quality across a wide range of creative scenarios.
Yes, Flux 2 Dev supports dual workflows—text-to-image generation from detailed prompts and direct image editing where you can modify existing images with precise control while preserving key elements.
Flux 2 Dev can be accessed through the Runcomfy AI playground via web or mobile browsers. After logging in, users can use their credits to generate text-to-image results or perform image editing tasks directly online.
While Flux 2 Dev delivers strong performance, it currently supports images up to around 4 megapixels, and commercial usage may require a separate license. Additionally, text-to-image rendering quality depends on prompt clarity and available compute credits.
Yes, because Flux 2 Dev is an open-weight model, it can be used locally for research or non-commercial text-to-image experimentation. Developers and researchers can integrate it into custom workflows or applications.