Modelli Replicate

FLUX.2 [max] is the flagship, highest-quality variant of the FLUX.2 family from Black Forest Labs (BFL). It is positioned as a professional-grade text→image generation and image-editing model that focuses on maximal fidelity, prompt adherence, and editing consistency across characters, objects, lighting and color. BFL and partner registries describe FLUX.2 [max] as the top-tier FLUX.2 variant with features for multi-reference editing, grounded generation.

FLUX 2 DEV is the development-friendly version optimized for research, experimentation, and non-commercial applications. It provides developers with powerful image generation capabilities while maintaining a balance between quality and computational efficiency. Perfect for prototyping, academic research, and personal creative projects.

FLUX 2 FLEX is the versatile, adaptable model designed for flexible deployment across various use cases and hardware configurations. It offers scalable performance with adjustable quality settings, making it ideal for applications requiring dynamic resource allocation. This model provides the best balance between quality, speed, and resource efficiency.

FLUX 2 PRO is the flagship commercial model in the FLUX 2 series, delivering state-of-the-art image generation with unprecedented quality and detail. Built for professional and enterprise applications, it offers superior prompt adherence, photorealistic outputs, and exceptional artistic capabilities. This model represents the cutting edge of AI image synthesis technology.

black-forest-labs/flux-schnell is a text-to-image generative model from Black Forest Labs, designed for rapid sampling and iterative prompt exploration. It synthesizes varied styles and compositions from short prompts, supports negative prompting and seed control, and can produce high‑resolution outputs suitable for product mockups, concept art, and marketing visuals. Typical uses include interactive ideation, thumbnail and banner generation, and automated creative variants in content pipelines. Technical highlights include compatibility with the Hugging Face Diffusers stack, flexible resolution control, and an efficient sampler tuned for speed on common GPUs.

black-forest-labs/flux-pro is a text-to-image generative model from Black Forest Labs for high-fidelity image synthesis across styles and subjects. It turns detailed prompts into coherent compositions with controllable attributes such as aspect ratio and style via standard generation parameters. Typical uses include concept art, product visualization, marketing creatives, and photorealistic scenes in design workflows. Technical highlights include text-to-image modality, instruction-like prompt following, and integration in common image generation toolchains.

black-forest-labs/flux-kontext-pro is a multimodal diffusion model for context-aware image generation. It synthesizes images from text prompts and optional reference images, preserving composition and style cues for grounded results. Typical uses include brand asset creation, product visuals, and visual ideation using mood boards or example shots. Technical highlights include text and image inputs, reference-conditioned sampling, and reproducible outputs via seed control.

black-forest-labs/flux-kontext-max is a context-conditioned image generation model in the FLUX line, built to create images from text with optional reference inputs. It enables grounded synthesis, style or subject preservation, and controlled variations guided by supplied visual context. Typical applications include brand-consistent creatives, product mockups, character continuity, and moodboard-driven ideation. Technical highlights include diffusion-based generation and multimodal conditioning with text and reference inputs suitable for reference-guided workflows.

black-forest-labs/flux-dev is an open-weights text-to-image model from Black Forest Labs for generating images from natural language prompts. It produces photorealistic and stylized results from detailed prompts and works with common control options in diffusion toolchains. Typical uses include concept art, product visualization, marketing imagery, and rapid creative exploration in design workflows. Technical highlights include a transformer-based rectified-flow design, integration with the Hugging Face Diffusers library, and deployment via standard GPU inference stacks.

black-forest-labs/flux-1.1-pro-ultra is a text-to-image diffusion transformer designed for production image synthesis from natural language prompts. It generates detailed outputs from complex instructions with controls for style, composition, aspect ratio, negative prompts, and seed reproducibility. Typical uses include marketing creatives, product visualization, concept art, and content ideation. Technical highlights include transformer-based diffusion, text-encoder guidance, and deployment via common inference APIs with scheduler and guidance parameters.

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black-forest-labs/flux-1.1-pro is a text-to-image generation model from Black Forest Labs for controllable, high-fidelity visuals. It interprets detailed prompts to produce compositions across styles and subjects, with support for iterative refinement and image variations in common diffusion workflows. Typical uses include concept art, product mockups, marketing imagery, and scene exploration. Technical highlights include text-conditioned image synthesis and integration with standard inference toolchains used for diffusion models.

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