AuraFlow
AuraFlow is a released vision model with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating vision
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Strict JSON or tool-calling flows
- Teams that need a tracked hosted API route today
- Family
- AuraFlow
- Released
- 2024-07-12
- Parameters
- 6.8B
- Architecture
- Diffusion Transformer
- Specialization
- image-generation
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
No tracked provider token pricing is available yet.
About
AuraFlow by fal.ai. At 6.8B parameters, the largest open-source flow-based text-to-image model at launch. Uses flow matching (direct noise-to-image mapping) rather than traditional diffusion, achieving strong semantic coherence for complex multi-object compositions. Released July 2024 under Apache 2.0. Available on HuggingFace (fal/AuraFlow) and Fal API (fal-ai/aura-flow).
AuraFlow is an open-source model. The structured metadata tracks multimodal input. No headline benchmark score is tracked for AuraFlow yet.
Top use-case fit
Vision
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Vision
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider token pricing is available yet.