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Fal

Generative media platform for developers. Lightning-fast AI inference.

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Overview

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Fal is a leading generative media platform for developers, founded in 2021. It addresses key AI infrastructure challenges by providing lightning-fast inference for generative AI models such as SDXL and Whisper. Fal empowers developers to build advanced creativity tools, supporting large-scale customer bases. The mission is to amplify creativity by removing barriers and optimizing speeds for responsive, immersive, and cost-effective generative experiences. Headquartered in San Francisco and backed by top Silicon Valley investors, Fal operates with a global team.

How It Works

  • Integrate Client Libraries: Use Fal's libraries (JavaScript, Python, Swift) to connect from your apps.
  • Submit AI Requests: Send parameters (text prompts, images) to Fal's API for various generative models.
  • Leverage Inference Engine™: Experience Fal's proprietary engine for up to 4x faster model inference.
  • Receive High-Quality Outputs: Get generated media (images, videos) with top performance and quality.
  • Manage Files Efficiently: Submit data via URLs, Base64, or file uploads to Fal storage.
  • Monitor Long-Running Jobs: Track status for training or slow inference using job queues or webhooks.

Use Cases

Real-time Image and Video Generation
Instantly generate images from text prompts or create dynamic videos from images or text using advanced models like FLUX, AuraFlow, and Kling.
Custom Model Training and Personalization
Fine-tune and personalize generative AI models with Fal's LoRA trainer, enabling rapid style and subject adaptation.
High-Scale AI Infrastructure for Creative Tools
Deploy and scale private diffusion models efficiently, supporting demanding workloads for next-gen creative and SaaS applications.

Features & Benefits

  • Lightning-Fast AI Inference (up to 4x faster diffusion models)
  • Uncompromised Quality with optimized generative models
  • Blazing-Fast FLUX Model Inference (up to 400% faster)
  • Industry-Leading LoRA Trainer for FLUX (personalize/train new styles in <5min)
  • Optimized for Private Diffusion Models (run your custom models up to 50% faster; scale to thousands of GPUs)
  • World-Class Developer Experience (client libraries for JS, Python, Swift)
  • Cost-Effective Scalability (usage-based, competitive GPU and output pricing)

Target Audience

  • Developers: Building the next generation of AI-powered applications and creative tools.
  • AI Engineers & Researchers: Deploying, optimizing, and training custom diffusion models.
  • SaaS Companies & Startups: Requiring scalable, high-performance, cost-effective AI inference.
  • Creative Technologists: Integrating generative media capabilities into innovative projects.

Pricing

  • GPU Pricing (custom deployments):
    • H100 (80GB): $1.89/hour ($0.0005/sec)
    • H200 (141GB): $2.10/hour ($0.0006/sec)
    • A100 (40GB): $0.99/hour ($0.0003/sec)
    • A6000 (48GB): $0.60/hour ($0.0002/sec)
    • B200 (184GB): contact for pricing
    • Competitive rates for custom deployments, H100s as low as $1.99/hour
  • Output-Based Pricing (models deployed by Fal):
    • Video Models:
      • Hunyuan Video: $0.4 per video
      • Kling 1.6 Pro Video: $0.095 per video second
      • Kling 2 Master Video: $0.28 per video second
      • Alibaba Wan Video: $0.4 per video
      • MiniMax Video Live: $0.5 per video
    • Image Models:
      • FLUX.1 per megapixel
      • FLUX.1 per megapixel
      • FLUX.1 per megapixel
      • Stable Diffusion 3 - Medium: $0.035 per image
    • Higher resolutions and specific models may use GPU-based pricing.
  • Flexible, usage-based pricing—pay only for compute and outputs you use.

FAQs

What is Fal?

Fal is a generative media platform for developers, offering lightning-fast AI inference for a wide range of generative AI models including text-to-image, image-to-image, and image-to-video. It enables developers to build next-generation creative applications with high performance and cost-efficiency.

How fast is Fal's inference engine?

Fal's Inference Engine™ is engineered for speed, running diffusion models up to 4x faster than other alternatives. FLUX models can run up to 400% faster on Fal's infrastructure.

What types of generative AI models does Fal support?

Fal supports a diverse gallery of generative AI models, including text-to-image (e.g., AuraFlow, FLUX.1), image-to-image (e.g., FLUX.1 Kontext, Plushify), image-to-video (e.g., Kling, MiniMax, Pixverse, Veo), and specialised tools like Redux, Fill, and ControlNet for advanced editing.

How does Fal's pricing work?

Fal offers flexible pricing: GPU-based pricing for custom deployments (billed by hour/second), and output-based pricing for Fal-deployed models (billed per image, megapixel, video, or video second). This ensures scalable and cost-effective use.

Can I use my own custom diffusion models with Fal?

Yes, Fal partners with developers to run inference on private diffusion transformer models. The inference engine can accelerate your custom models by up to 50% and offers scalable, pay-per-use GPU access.

Does Fal offer client libraries for integration?

Yes. Fal provides client libraries for JavaScript, Python, and Swift, enabling easy integration of Fal's capabilities into applications.

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