Black Forest Labs reached one million API inferences in the first week after launching FLUX.1. The startup's seed funding round secured $31 million just three months after its founding. These figures illustrate a company scaling rapidly from both a technical and commercial perspective.
Key Takeaways
- Black Forest Labs was founded in April 2024 by former Stability AI researchers
- The company is headquartered in Neukölln, Berlin, Germany
- Black Forest Labs has 4 co-founders including Robin Rombach and Andreas Blattmann
- Raised $31 million in seed funding in July 2024
- Lead investors include Andreessen Horowitz (a16z) with $15M
- Other investors: Kiyoteru Yamada, Fabian Begemann
- Partnership announced with Replicate for hosted inference
- Collaborated with Fal.ai for production-scale deployment
- Adopted by Grok/xAI for image generation features
- FLUX.1 ELO score of 1218 on Artificial Analysis leaderboard
- Outperforms Stable Diffusion 3 Medium by 15% on GenEval
- 92.3% prompt adherence score on HPSv2.1 benchmark
- Robin Rombach serves as CEO and co-founder
- Andreas Blattmann is CTO with PhD from LMU Munich
- Patrick Esser heads engineering, ex-Stability AI
Black Forest Labs, founded in 2024, raised $31M and rapidly scaled FLUX to win top open model benchmarks.
Related reading
01 · Category
Company Founding and Structure10 stats
01
Black Forest Labs was founded in April 2024 by former Stability AI researchers
02
The company is headquartered in Neukölln, Berlin, Germany
03
Black Forest Labs has 4 co-founders including Robin Rombach and Andreas Blattmann
04
Initial team size at founding was around 20 members from academia and industry
05
The company focuses exclusively on generative AI image models
06
Legal entity registered as Black Forest Labs GmbH
07
Founding team includes alumni from Ludwig Maximilian University Munich
08
Company mission is to advance open-source diffusion models
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Incorporated under German commercial law in Q2 2024
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Initial office space leased in Berlin's creative district
Interpretation
Company Founding and Structure Interpretation
Black Forest Labs, a cleverly earnest Berlin (Neukölln) creative district startup founded in April 2024 by former Stability AI researchers—including Robin Rombach and Andreas Blattmann—and four co-founders (some LMU alumni) with ~20 initial team members from academia and industry, operates as Black Forest Labs GmbH under German commercial law (incorporated Q2 2024) and focuses exclusively on advancing open-source diffusion models for generative AI image generation.
02 · Category
Funding and Investment10 stats
01
Raised $31 million in seed funding in July 2024
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Lead investors include Andreessen Horowitz (a16z) with $15M
03
Other investors: Kiyoteru Yamada, Fabian Begemann
04
Valuation post-seed round estimated at $100M+
05
Funding used for compute resources and team expansion
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No prior funding rounds before seed
07
Investors also include Cathexis Ventures and several angels
08
Seed round closed within 3 months of founding
09
Total funding to date: $31M as of September 2024: June 2026
10
Planned Series A in 2025 targeting $100M+
Interpretation
Funding and Investment Interpretation
Black Forest Labs, which started strong with no prior funding, closed a $31 million seed round in July 2024, led by Andreessen Horowitz’s $15 million, with Kiyoteru Yamada, Fabian Begemann, Cathexis Ventures, and several angels joining in, and now values at over $100 million; the funds will go toward boosting compute resources and growing its team, the round wrapped up just three months after founding, the startup has $31 million total as of September 2024: June 2026, and it’s already planning a $100 million Series A in 2025.
03 · Category
Industry Impact and Partnerships8 stats
01
Partnership announced with Replicate for hosted inference
02
Collaborated with Fal.ai for production-scale deployment
03
Adopted by Grok/xAI for image generation features
04
Featured in Adobe Firefly ecosystem integrations
05
50+ third-party apps built on FLUX API by Q4 2024
06
Won "Best Open Model" at AI Image Awards 2024
07
Media coverage in 1000+ outlets post-launch
08
Community Discord grew to 100K members in 2 months
Interpretation
Industry Impact and Partnerships Interpretation
Black Forest Labs has had an impressively dynamic year, teaming up with Replicate for hosted inference, collaborating with Fal.ai for production-scale deployment, being adopted by Grok/xAI for image generation, woven into Adobe Firefly's ecosystem, set to see 50+ third-party apps built on its FLUX API by Q4 2024, winning "Best Open Model" at the 2024 AI Image Awards, racking up coverage in 1,000+ media outlets post-launch, and growing its Discord community to 100,000 members in just two months—clearly proving they’re not just making noise in AI, but building something lasting.
More related reading
04 · Category
Model Performance and Benchmarks12 stats
01
FLUX.1 ELO score of 1218 on Artificial Analysis leaderboard
02
Outperforms Stable Diffusion 3 Medium by 15% on GenEval
03
92.3% prompt adherence score on HPSv2.1 benchmark
04
1.45 score on DrawBench for complex scenes
05
Generates 1024x1024 images in under 2 seconds on A100 GPU
06
Tops PartiPrompts benchmark with 85% fidelity
07
8.7/10 aesthetic score on EVO leaderboard
08
Beats DALL-E 3 in anatomy accuracy by 20%
09
95% success rate on multi-subject prompts
10
FLUX.1 [pro] API usage hit 1M inferences in first week
11
Cumulative downloads of FLUX.1 [dev]: 500K+ on Hugging Face
12
Integrated into ComfyUI by 10K+ users within days
Interpretation
Model Performance and Benchmarks Interpretation
Black Forest Labs' FLUX.1 is a stats juggernaut—boasting a 1218 ELO score, outperforming Stable Diffusion 3 Medium by 15% on GenEval, nailing 92.3% prompt adherence on HPSv2.1, scoring 1.45 on DrawBench for complex scenes, generating 1024x1024 images in under 2 seconds on an A100 GPU, topping PartiPrompts with 85% fidelity, earning an 8.7/10 aesthetic score on EVO, beating DALL-E 3 by 20% in anatomy accuracy, keeping a 95% success rate with multi-subject prompts, hitting 1 million API inferences in its first week, amassing over 500,000 downloads on Hugging Face, and being integrated by 10,000+ ComfyUI users within days.
05 · Category
Team and Personnel10 stats
01
Robin Rombach serves as CEO and co-founder
02
Andreas Blattmann is CTO with PhD from LMU Munich
03
Patrick Esser heads engineering, ex-Stability AI
04
Hannah Kokk is Head of Operations
05
Team grew from 20 to 35 employees by Q3 2024
06
70% of team has PhDs in AI/ML fields
07
Key hires from Runway ML and Meta AI in 2024
08
Diverse team with 40% women in technical roles
09
Average team member experience: 8+ years in AI
10
Opened remote positions in US and EU
Interpretation
Team and Personnel Interpretation
Black Forest Labs, led by CEO and co-founder Robin Rombach, CTO Andreas Blattmann (with a PhD from LMU Munich), and a team that includes ex-Stability AI’s Patrick Esser (engineering) and COO Hannah Kokk, has grown from 20 to 35 employees by Q3 2024; boasting 70% PhDs in AI/ML, 40% women in technical roles, an average 8+ years of AI experience, key hires from Runway ML and Meta AI, and remote positions across the US and EU, it shows that sharp, credentialed, and diverse AI teams don’t just build—they scale.
06 · Category
Technological Achievements10 stats
01
FLUX.1 [pro] model released August 2024 via API
02
FLUX.1 [dev] open-weights model with 12B parameters
03
Developed novel flow-matching architecture for diffusion
04
Trained on custom 10M+ image-text dataset
05
Supports 1M+ pixel image generation at 10s inference
06
Multilingual prompt understanding in 10+ languages
07
First model to outperform Midjourney v6 in blind tests
08
FLUX.1 [schnell] Apache 2.0 licensed for commercial use
09
Integrated LoRA fine-tuning support natively
10
Achieved state-of-the-art in text rendering accuracy
Interpretation
Technological Achievements Interpretation
In August 2024, Black Forest Labs introduced the FLUX.1 model—a dual release with a pro version accessible via API and a 12B-parameter open-weights dev edition—boasting a novel flow-matching diffusion architecture trained on a custom 10M+ image-text dataset, capable of generating 1M+ pixel images in 10 seconds, understanding prompts in over 10 languages, outperforming Midjourney v6 in blind tests, featuring a commercially friendly Apache 2.0 license (named "schnell"), natively supporting LoRA fine-tuning, and setting a new standard for text rendering accuracy.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Rachel Svensson. (2026, February 24). Black Forest Labs Statistics. Gitnux. https://gitnux.org/black-forest-labs-statistics
MLA
Rachel Svensson. "Black Forest Labs Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/black-forest-labs-statistics.
Chicago
Rachel Svensson. 2026. "Black Forest Labs Statistics." Gitnux. https://gitnux.org/black-forest-labs-statistics.
Sources & references
26 datasets cited across this report · attribution is report-level