Mage Space

Mage Space is an online generative AI workspace that transforms text descriptions and reference media into high-resolution digital artwork, photographs, and video clips. Utilizing an expansive library of over 160 fine-tuned diffusion models—such as Flux, Stable Diffusion XL, and specialized community checkpoints—the platform synthesizes custom visuals based on user-defined prompts. It provides digital artists, marketers, and social media creators with powerful tools to generate marketing assets, concept art, and animated media without requiring local graphics hardware.

The platform incorporates powerful technical features designed for precise visual control, including ControlNet for structure mapping, custom LoRA integration, inpainting, and high-definition image resolution upscaling. Mage Space also supports character reference mapping, allowing users to upload a single portrait to maintain consistent facial features across multiple generated images and video scenes. Additionally, its Motion Control feature enables creators to apply movement dynamics from external reference videos onto custom AI characters.

Mage Space operates on a freemium pricing structure where new users receive trial credits upon registration to test image generation and essential features. Upgrading to paid monthly or annual membership plans unlocks unlimited generations on select base models, access to premium video generators, advanced image upscaling, multiple LoRA stacks, faster rendering queues, and custom checkpoint imports. All membership tiers include private generation defaults and grant full commercial licensing rights for exported media.

Yes, content created on Mage Space—including generated images, character designs, and short videos—can be utilized for commercial purposes such as digital advertising, website assets, merchandise, and social media marketing. Users retain commercial rights over their visual exports across both free and paid account tiers, and attribution to the platform is appreciated but not legally required.