AuraFlow Models by fal
falApache 2.0
1 model2024
About
fal.ai's open-source flow-based text-to-image model family. AuraFlow was the largest open-source flow-matching image generation model at launch (6.8B parameters), achieving state-of-the-art results on GenEval using flow matching instead of traditional diffusion noise scheduling.
Specifications(1 models)
| Model | Released | Parameters | Multimodal |
|---|---|---|---|
| AuraFlow | 2024-07 | 6.8B | Yes |
Frequently Asked Questions
- What is AuraFlow used for?
- AuraFlow is used for image generation and vision and multimodal work. The family description and listed model capabilities point to those workloads as the best fit.
- How does AuraFlow compare to Claude 3?
- AuraFlow by fal is strongest where you need image generation, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. AuraFlow has 1 listed variant, while Claude 3 reaches up to 200K context, so compare the specs and pricing tables before choosing a production model.
- Which AuraFlow model should I use?
- If price is the main constraint, use the pricing table first because AuraFlow does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate AuraFlow with multimodal inputs.