Black Forest Labs releases FLUX.2: 32B open-weight image model with 4MP editing and 10-image multi-reference support
Black Forest Labs has released FLUX.2, a family of image generation models including a 32B parameter open-weight variant. The models support editing at up to 4 megapixel resolution and can reference up to 10 images simultaneously for character and style consistency.
Black Forest Labs Releases FLUX.2 Image Generation Models
Black Forest Labs has released FLUX.2, a family of image generation and editing models that includes a 32-billion parameter open-weight variant capable of editing images at up to 4 megapixel resolution.
Model Specifications
The FLUX.2 family includes four variants:
FLUX.2 [pro]: Closed-source production model available via API at BFL Playground and launch partners. The company claims state-of-the-art image quality matching competing closed models while generating images faster and at lower cost. Pricing not yet disclosed.
FLUX.2 [flex]: API-accessible model with adjustable parameters including step count and guidance scale for controlling quality-speed tradeoffs. Available now through BFL API and partners. Pricing not yet disclosed.
FLUX.2 [dev]: 32B parameter open-weight model available on Hugging Face under a commercial license. This is the most powerful variant released with open weights. The model runs on consumer GPUs including GeForce RTX cards using an optimized fp8 implementation developed with NVIDIA and ComfyUI. Also available via API through FAL, Replicate, Runware, Verda, Together AI, Cloudflare, and DeepInfra.
FLUX.2 [klein]: Upcoming Apache 2.0 licensed model, distilled from the FLUX.2 base. Beta access available by sign-up.
Technical Capabilities
All FLUX.2 variants combine text-to-image generation and image editing in a single architecture. Key capabilities according to Black Forest Labs:
- Multi-reference support: Process up to 10 reference images simultaneously for character, product, and style consistency
- Resolution: Generate and edit images up to 4 megapixels
- Text rendering: Complex typography, infographics, and UI mockups with legible fine text
- Flexible aspect ratios for both input and output
Architecture
FLUX.2 uses a latent flow matching architecture that couples the Mistral-3 24B parameter vision-language model with a rectified flow transformer. The company built a new variational autoencoder (FLUX.2-VAE) from scratch to optimize the tradeoff between learnability, quality, and compression rate. The VAE is released under Apache 2.0 license on Hugging Face.
According to Black Forest Labs, the vision-language model component provides real-world knowledge and contextual understanding, while the transformer handles spatial relationships, material properties, and compositional logic.
Performance Claims
Black Forest Labs states that FLUX.2 [dev] "sets a new standard" for open-weight image models, outperforming all open-weight alternatives across text-to-image generation, single-reference editing, and multi-reference editing benchmarks. Specific benchmark scores were not provided.
The company claims FLUX.2 [flex] allows quality-speed tradeoffs through a "steps" parameter, with examples showing 6, 20, and 50-step generation options affecting typography accuracy and image detail.
Availability
FLUX.2 [pro], [flex], and [dev] are available now. FLUX.2 [dev] weights can be downloaded from Hugging Face. The FLUX.2-VAE is available under Apache 2.0 license. FLUX.2 [klein] is in beta.
What This Means
FLUX.2 [dev] represents the largest open-weight image generation model released to date at 32B parameters, and the first to combine generation and editing with multi-reference support in a single checkpoint. The 4MP editing capability and 10-image multi-reference feature are significant technical advances, though independent benchmarks will be needed to verify the company's performance claims against competitors like Stable Diffusion 3 and other open models. The Apache 2.0 licensed VAE and upcoming [klein] model suggest a commitment to open-source infrastructure, while the commercial [pro] and [flex] variants follow Black Forest Labs' hybrid business model of pairing open research with commercial offerings.
Related Articles
OpenAI Releases GPT-6 Astra, First Model to Cross 'Critical' Cybersecurity Threshold
OpenAI has begun rolling out GPT-6 Astra, the first model to reach the company's internal 'Critical' cybersecurity threshold. Access is being phased, with companies in OpenAI's Daybreak cybersecurity program getting priority following added safeguards after a prior model containment breach.
OpenAI's GPT-6 Astra Reportedly Automates AI Engineering Tasks at Under $6 an Hour, According to Latent Space Testing
A Latent Space report describes GPT-6 Astra, a new OpenAI model the blog says can autonomously handle AI engineering tasks—training models, labeling data, deploying systems—at an estimated cost of under $6 per hour. The claims, including 97.6% on FrontierMath and 99.9% on ARC-AGI-3, come from independent blog testing rather than an official OpenAI announcement.
OpenAI Launches GPT-6 Astra, Claims State-of-the-Art Computer Use and 98% on FrontierMath Tier 4
OpenAI has launched GPT-6 Astra, claiming state-of-the-art results on computer use, coding, and scientific reasoning benchmarks. The model is rolling out to a limited set of organizations first, with general ChatGPT availability expected within days.
OpenAI Launches GPT-6 Astra, Matches Claude Fable Pricing at $10/$50 per Million Tokens
OpenAI has begun rolling out GPT-6 Astra, priced at $10/million input and $50/million output tokens to match Claude Fable. The model claims a 99.9% score on ARC-AGI 3 using a custom harness and leads on security and long-context benchmarks, though it trails Fable on general intelligence rankings.
Comments
Loading...