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black-forest-labs/flux-schnell

A high-speed image generation model built with a 12 billion parameter rectified flow transformer architecture optimized for rapid inference. FLUX-schnell (German for "fast") delivers competitive image quality and prompt adherence while significantly reducing computational requirements. This model is specifically designed for local development and personal use, employing latent adversarial diffusion distillation to generate high-quality images in just 1-4 inference steps. It provides an impressive balance of speed and quality that matches many closed-source alternatives, while remaining accessible through its open-source license.

Technical Specifications:

  • Architecture: Rectified flow transformer (12B parameters)
  • Generation Method: Latent adversarial diffusion distillation
  • Inference Steps: 1-4 (optimal at 4 steps)
  • Max Sequence Length: 256 tokens
  • Performance: Optimized for speed with competitive quality
  • License: Apache 2.0 (open-source)
  • Implementation: Compatible with Comfy UI and Diffusers library

recraft-ai/recraft-v3

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