Black Forest Labs is a Foundation Models - Image company founded in 2024 and based in Germany. It has raised $431M in total funding, most recently a Series B in 2025 at a $3.3B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Dec 1, 2025 | Series B | $300M | $3.3B | Salesforce Ventures, Anjney Midha (AMP) |
| Aug 1, 2024 | Seed | $31M | $150M |
| Andreessen Horowitz |

Black Forest Labs' Flux 3 generates a split-screen real-time video from a single prompt with synchronized camera angles.

Black Forest Labs launches FLUX 3, a multimodal video model that outperforms Seedance 2.0, Gemini Omni, and Grok Imagine.
Black Forest Labs' most advanced image generation model family released in November 2025. FLUX.2 combines state-of-the-art text-to-image generation with multi-reference image editing capabilities. The model delivers production-grade quality with 4MP photorealistic output and multi-reference control for professionals and enterprises. It features superior prompt following, typography rendering, and image reference quality compared to previous generations. Available in multiple variants (Pro, Flex, Dev, and Klein) for different use cases, from high-performance enterprise applications to open-source deployment options.
A flagship high-performance text-to-image generation model available exclusively through API. FLUX.1 Pro generates photorealistic images in 4.5 seconds with near-perfect prompt adherence and supports high-resolution output up to 1440x1440 pixels. Designed for commercial applications requiring reliability and speed, it powers enterprise platforms and is integrated into creative tools including Adobe Firefly. The model optimizes for consistent, production-grade visual quality and creative control.
An advanced contextual image generation and editing model announced in May 2025. FLUX.1 Kontext enables in-context image generation and editing through a suite of models that accept both text and image prompts. Users can transform images in response to natural language instructions, enabling precise style transfer, content manipulation, and visual coherence across multiple references. This model targets creators and professionals requiring advanced multi-modal understanding for sophisticated image workflows.
An ultra-fast image generation variant licensed under Apache 2.0, released as open-source for personal and local development. FLUX.1 Schnell generates high-quality images in just 1-4 inference steps through latent adversarial diffusion distillation. It's optimized for efficiency and can run on consumer hardware, making it accessible to individual developers and researchers. Available on Hugging Face with tens of millions of downloads, it prioritizes accessibility and community-driven innovation.