Benly adds canvas-based AI creative production workflows
Benly has launched Creative Studio, a new workspace designed for AI creative production, enabling teams to generate, edit, batch, and organize AI ad creative. The platform supports image, video, text, and audio generation using various AI models like GPT-Image, Veo, and Luma, and allows for workflow management and collaboration within a visual canvas.
Key Takeaways
- Creative Studio combines a workflow library, reusable templates, persisted projects, and a visual canvas for AI ad production.
- The canvas supports image, video, text, and audio generation using Benly’s current model catalog.
- Supported image models include GPT-Image, Gemini image models, FLUX, Ideogram, Recraft, Seedream, Grok, and Stability.
- Supported video models include Veo, Kling, Luma, Hailuo, Grok, LTX, Wan, Pixverse, and Seedance where enabled.
- Teams can batch work with prompt splitting, multi-reference scenes, CSV rows, template variables, batch transforms, and pipeline execution.
Why It Matters
Benly is packaging AI creative work as a workflow system, not a single prompt interface. That matters because the product keeps prompts, source assets, generated outputs, edits, and review context inside one canvas, which should make repeated ad-creative production easier to manage. The broader angle is organizational: Studio is built around templates, duplicateable workflows, cross-workspace copying, and public preview links, so creative teams can reuse setups instead of rebuilding them. What to watch is which model families and editing actions teams actually use most inside the Studio canvas, since Benly exposes a long catalog across image, video, text, and audio.
Read full article at benly.ai
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