Flux
UnverifiedHigh-quality open-source image generation by Black Forest Labs
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What is Flux?
Flux is a family of open-source image generation models created by Black Forest Labs, founded by the original creators of Stable Diffusion. The model lineup includes Flux.1 Pro for maximum quality, Flux.1 Dev for developers and fine-tuning, and Flux.1 Schnell for ultra-fast generation. Flux has rapidly gained recognition for producing outputs that rival or exceed Midjourney v6 in photorealism and prompt adherence, particularly excelling at human anatomy, hands, and complex spatial compositions — areas where most AI models historically struggle. The models support generation at arbitrary aspect ratios and resolutions up to 2 megapixels. Flux.1 Schnell can generate images in as few as 1-4 inference steps, making it one of the fastest high-quality generators available. Being open-source (Flux.1 Dev and Schnell under Apache 2.0 license), the models can be run locally, fine-tuned with LoRA adapters, and integrated into custom pipelines. The Pro model is available through the Black Forest Labs API and various third-party platforms like Replicate and fal.ai. For developers and researchers who want state-of-the-art image quality with full model access and customization rights, Flux represents the current frontier of open-source image generation.
Who is Flux for?
If you work in Image Generation, Flux is built for you. It shines at open-source models rival midjourney quality, which is why it's a go-to in the Image Generation space.
Key Features
- Three model tiers (Pro, Dev, Schnell)
- Best-in-class hand and anatomy rendering
- Ultra-fast 1-4 step generation (Schnell)
- Open-source with LoRA fine-tuning support
- Arbitrary aspect ratio and resolution up to 2MP
Pricing Details
Flux is completely free — perfect for individuals and teams who want a powerful Image Generation tool without spending a dime.
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Our editorial team hasn't rated Flux yet in Image Generation. Best part — it's completely free. As users leave reviews, the score will reflect community feedback.