Treza

What is Treza

Treza is a node editor for generative media that builds AI video pipelines from a description. It assembles pipelines using models like Veo, Seedance, Gemini Image, or any open model and runs them on demand, on a schedule, or behind an API. It enables users to generate, edit, and publish videos in one place.

How to use Treza

1. Describe the video you want in plain language, including details like captions or music.
2. Treza builds an AI pipeline that chains together the necessary models and tools.
3. The pipeline runs on demand, on a schedule, or behind an API.
4. Use the built-in timeline editor to tweak the cut manually or ask the AI assistant to make edits in plain language.
5. Export the final video in the desired aspect ratio.

Features of Treza

• Node-based editor for building AI video, image, and audio workflows.
• Plain language requests for video generation and editing.
• Built-in timeline editor with AI assistant for edits.
• Access to a growing library of generative models for video, image, language, and speech.
• Pipelines can branch, fan out, and include code.
• Runs on demand, on a schedule, or behind an API.
• Prepaid credits, no subscription.

Use Cases of Treza

• Generating cinematic clips from prompts with specific durations and aspect ratios.
• Creating product shots, illustrations, and campaign art.
• Drafting, rewriting, classification, and reasoning tasks using language models.
• Automating video publishing with scheduled pipelines.
• Editing videos with AI assistance for crossfades, audio ducking, and more.

Pricing

Treza uses a prepaid credits system with no subscription required.

FAQ

What models does Treza support? Treza supports a variety of models including Veo 3.1, Veo 3.1 Fast, Kling 3.0 Pro, Seedance 2.5, Gemini 2.5 Flash Image, Gemini 3.1 Flash Image, FLUX.2 Pro, Seedream 4.5, Claude Sonnet 5, GPT-5, Gemini 3.1 Pro, and Llama 3.3 70B, among others.

Can I edit the video after generation? Yes, Treza includes a built-in timeline editor where you can make manual adjustments or ask the AI assistant to perform edits in plain language.

How are pipelines run? Pipelines can be run on demand, on a schedule, or behind an API.