AI Media Models

The Max series of Tongyi Qwen’s image generation model excels across a wide range of generation tasks. Compared with the Plus series, it significantly reduces the “AI-like” feel in generated images, enhancing their realism. It delivers more lifelike material textures for human subjects, finer and more detailed natural textures, and more visually appealing text rendering.

Distilled version of Black Forest Labs' FLUX.2 [dev] outperforming it at a cheaper price. Developed by fal.ai.

Alibaba's Qwen image editing model for instruction-based image modifications and transformations

OpenAI's state-of-the-art image generation model with better instruction following and adherence to prompts

6B parameter image generation model excelling at rendering multilingual text directly in generated images

PrunaAI's sub-1-second multi-image editing model supporting up to 5 reference images with state-of-the-art quality

Kuaishou's cinematic video generation model supporting text-to-video and image-to-video with multi-shot control, native audio with voice control, negative prompts, and CFG scale at 720p

Tongyi-MAI's 6-billion parameter distilled text-to-image model optimized for speed, achieving high-quality generation in 8 steps or fewer with support for bilingual text rendering

Black Forest Labs' open-weights image generation model with frontier performance, available for non-commercial local deployment

Black Forest Labs' precision image generation model with maximum control, reliable text rendering, and complete creative control supporting up to 4MP output

Black Forest Labs' state-of-the-art image generation model with maximum quality and speed, supporting text-to-image and multi-reference image editing with up to 4MP output

Sourceful's lightweight Riverflow 2 variant for fast workflows and lower cost, combining unified text-to-image generation with precise editing capabilities