
Worldwide
2025
Media and Entertainment, Film and Video Production, Advertising and Marketing, Social Media, Gaming
XMK is a generative AI creative platform that brings AI video and image generation tools into a single environment for digital content production. The platform gives creators access to multiple generative models and supports workflows ranging from text-to-video and image-to-video creation to image generation and editing. Its technology is primarily aimed at creators, filmmakers, marketers, and media teams using generative AI for visual production.
XMK provides an online environment where users can create and modify visual content with AI video and image models. Rather than focusing on a single proprietary generation model, XMK provides access to multiple models and creative workflows through one platform.
Users can generate videos from text or images, incorporate audio and video references, create AI-generated images, edit images, upscale visual content, control starting and ending frames, and use tools for animation and lip synchronization. XMK currently lists models and tools associated with Seedance, Veo, Wan, Kling, MiniMax, GPT Image, Nano Banana and others. This gives creators a centralized way to experiment with different generative media models depending on the type of content they want to produce.
XMK’s technology centers on multimodal generative AI for creating and editing images and video. Its platform acts as a creative interface for several AI models rather than limiting users to one generation system.
A major part of the platform is AI video generation. XMK supports models capable of taking text, images and other media as inputs and producing new video sequences. Some workflows provide additional controls over motion, visual references, starting and ending frames, audio, and scene composition.
One example is Seedance 2.0, which XMK says uses a unified multimodal audio-video generation architecture. Its XMK implementation accepts text, images, video and audio as references, allowing users to guide elements such as subjects, movement, composition, timing and sound. The platform supports up to 12 reference files in this workflow.
XMK also integrates image-generation models and provides image editing and upscaling capabilities. This combination enables workflows in which users can generate an image, refine the visual asset and then use it as a reference for AI-generated video.
XMK reflects an emerging shift in generative media from individual AI generators toward multi-model creative platforms. Instead of requiring creators to use separate services for different image and video models, platforms such as XMK are bringing several generation technologies and production tools into one workflow.
Its integration of multimodal video systems is particularly relevant. Models such as Seedance can use combinations of text, images, video and audio as creative references, giving users more control than basic text-to-video generation. This makes XMK relevant to the broader development of AI-assisted media production, where generative models increasingly become tools for previsualization, advertising, social content and other visual workflows.
The core XMK platform provides an all-in-one AI media creation environment for generating images and videos. Users can access different generative models and select tools based on the type of content, motion, visual style or workflow they need.
XMK provides access to the Seedance AI video model family, including workflows supporting text, image, video and audio references. Seedance 2.0 is designed for reference-driven video generation, allowing creators to guide characters, environments, movement, composition and sound with multiple source assets. XMK identifies applications including commercial concepts, story sequences, branded videos and previsualization.
XMK provides access to multiple AI video generation models, with its current model matrix listing technologies including Veo, Wan, Kling, MiniMax, Seedance, Grok Imagine and Gemini Omni. The models support different combinations of text-to-video, image-to-video, reference-based generation, synchronized audio and motion control.
XMK also incorporates AI image-generation models including GPT Image and Nano Banana, alongside image editing and upscaling capabilities. These tools can be used independently or as part of workflows where generated images become reference material for subsequent video generation.
XMK’s technology can be applied across film and video production, advertising and digital media, particularly where teams need to create or prototype visual content without producing every asset through conventional filming or animation.
XMK identifies uses for Seedance including film previsualization, short-form social media content, brand campaigns and creative experimentation. Its broader image and video toolset can also support concept development, advertising visuals, product content, storyboarding and social-media production. The availability of reference-driven generation makes the platform particularly relevant to workflows where creators need greater control over characters, scenes, movement and visual consistency across generated content.
XMK’s current platform lists multiple image and video models, including Seedance, Veo, Wan, Kling, MiniMax, GPT Image and Nano Banana, among others. Availability can vary by XMK plan and as the platform updates its model catalog.
Yes. XMK supports image-to-video generation as well as text-driven video creation. Some models also allow images to be used as reference assets for controlling subjects, environments, composition and visual style.
Yes. Seedance workflows on XMK support text, image, video and audio references. Seedance 2.0 can accept multiple reference assets that help guide motion, visual composition, timing and sound.
No. Although AI video generation is a major part of XMK, the platform also provides AI image generation and editing, visual upscaling and other creative tools.
XMK’s tools are applicable to creators, filmmakers, marketers, social-media teams and other users producing digital visual content. Its Seedance tools specifically identify use cases such as previsualization, branded videos, social-media content and creative experimentation.
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