Hedra Studio.

Creative project on a common canvas

When several people work on a video, the original portrait, a successful version, and an approved change can quickly get lost. Hedra Studio offers a shared workspace where an AI agent plans, generates, and edits media alongside the team. Its Skills help repeat workflows, while Elements stores characters, products, and visual references. These mechanisms give Studio its own creative workflow, even though its model selection includes external engines. Hedra’s homepage now also describes inference infrastructure; this does not mean Studio has closed.

Proprietary animation and external models

The official library includes a Hedra Avatar example: a single character drawing is animated to a voice track, with movement and synchronized speech. Other examples use external models and explicitly identify their providers. In practice, check the chosen mode rather than assuming one engine’s capabilities apply across the service. Music is labeled coming soon on the Studio page, so it cannot be promised as an available feature of this canvas.

A saved Element helps reuse a reference but does not prove every frame is accurate. For a speaking character, inspect the mouth, eyes, body movement, and detail consistency; for a product video, check shape, lettering, and proportions.

Example: The character explains the application

Use your own image of a fictional character and a short voiceover: “Open the list, select the required record, and save the changes.” Choose a suitable mode for animating an image to speech. Avoid complex camera movement in the first attempt so speech and shape consistency are easier to assess. Once approved, save the source assets and working version in the team workspace.

Inspect consonants, mouth closure, and phrase endings, then check eye movement and silhouette. For a real interface demonstration, prepare screen imagery separately from verified materials. Generation must not invent buttons or actions absent from the product. This is an educational task, rather than a published generation result.

How different access methods are billed

Studio, the API, and additional infrastructure services are available. The current API page describes a prepaid monetary balance and usage-based billing; this is not a universal rule for Studio subscriptions. MCP and CLI connect generation to agents, but billing and result retention terms differ. Current primary sources do not establish an ongoing free Studio plan.

Portraits and voices require the person’s consent and the relevant rights; branded objects require authorized source assets. Before a generation batch, check the selected mode’s cost, workspace members’ permissions, and the actual download format. A shared library helps teamwork but needs clear rules about who approves final versions and deletes unnecessary assets.

Suitable tasks

• Animate your character to a voiceover
• Review and approve media on a shared canvas
• Repeat the creative process through Skills
• Use saved visual references