How to Generate AI Video with NadouPro: From One Sentence to Cinematic Final Cut

Most creators make AI videos like this: write the script and shot list in tool A, generate visuals in tool B, then composite and edit in tool C. Information loss between steps is unavoidable: the camera blocking you carefully designed in tool A has to be described all over again in tool B, and details often drift.

NadouPro's Canvas Agent solves this problem. The Agent entry in the upper right of the canvas lets you complete the entire workflow from idea to final cut within the same conversation: describe what you need, and the agent breaks down the steps, selects models, generates visuals, and places the finished result directly in the canvas space.

The Four Elements of Video Generation

A video generation task needs four things, and Canvas Agent collects them all from your conversation:

• Reference assets: photos of characters, products, or scenes. In Canvas Agent, you can directly reference existing nodes on the canvas, import from the asset space, or upload locally.

• Prompt: a description of the action, scene, camera, and style. You can write it yourself, or describe a rough idea and let the agent expand it into a complete production-ready prompt.

• Model: the video model used for generation. You can specify a particular model such as Seedance 2.5 or Kling 3.0 Omni, or set it to automatic and let the agent choose.

• Format: aspect ratio and duration. Just state it in your request, such as vertical 9:16, 15 seconds.

Reference assets work differently in Canvas Agent than in standalone tools: after you upload a reference image to the canvas space once, all later generations can call that asset without requiring another upload.

Practical Case 1: A 30-Second Cinematic One-Take Video

This case requires two reference assets: one character and one scene.

Character reference. Use Image Fusion mode to generate the character reference image: a close-up front portrait plus a full-body shot, giving the video model enough identity detail to keep the character consistent across shots.

Character reference image prompt:

Diptych studio character reference image, with a close-up front portrait on the left and a full-body front view of the same person on the right. A woman about 25 years old, fair skin with warm olive undertones, oval face, high cheekbones, and a defined jawline. Dark brown hair in natural waves, center-parted with a slight offset. Visible skin pore texture, fine lines, tiny moles, unretouched. Wearing a white ribbed tank top under an oversized dark blue denim jacket, high-waisted light blue wide-leg jeans, and white canvas shoes. Gray seamless background, soft diffused light. Strict continuity across both panels: same outfit, face, hairstyle, and skin.

Scene reference. An empty civil aviation cabin interior, generated separately with Image node:

Ultra-realistic narrow-body airliner economy cabin interior, completely empty. Shot from a low angle at the center of the aisle, wide-angle perspective, deep blue seats, light gray headrest covers, fold-down tray tables, curved white ceiling panels, and closed overhead bins. Cool daylight enters from the windows on the left, mixed with warm cabin ceiling lights, cinematic low-saturation teal-and-orange color grade, shallow depth of field, handheld documentary feel.

Video generation. The video itself is a 30-second one-take video generated with Seedance 2.5. A passenger spots a giant dragon outside the airplane window; the dragon bites off the tail of the plane, she is thrown out of the cabin and falls through the air, and finally wakes up in her own seat: it was all a dream.

Core prompt structure:

Scene background: A young woman in a civil aviation cabin notices a huge winged creature in the distance near the left wing, flying in formation with the plane. She rushes toward the cockpit but is stopped by the crew. As she turns, she sees the dragon overtake the plane and bite off the rear cabin section. She is thrown out through the break, spinning and falling through the air, and the dragon turns back and devours her. The screen cuts to black, and she wakes up in her own seat, completely unharmed.

Camera specifications: A single continuous 30-second long take, handheld documentary style, no cuts. All passenger seats face forward. She runs forward toward the cockpit and never turns back. The dragon is visible only as a distant silhouette through the window, 250-350 meters away. The break is caused by the dragon biting it off while moving forward, not hovering or pulling backward. From ejection to being swallowed, the camera keeps spinning and tumbling, and the horizon is never level.

Audio: 0-12 seconds: engine hum and cabin airflow, footsteps, scattered passenger murmurs. 12-14 seconds: dull impact of giant jaws clamping on metal, aluminum tearing, structural roar, and full-spectrum roar of depressurization rushing outward. 14-25 seconds: wind dominates, with engine and human voices gone. 28 seconds: cut to near silence. 28.5-30 seconds: calm engine hum returns, she gasps sharply, heartbeat sound.

A prompt at this level reads like a shooting script: scene background, character lock, cabin orientation, camera optics, emotional beats, and a second-by-second action timeline. Canvas Agent is an ideal place to build this kind of prompt: you iterate on the prompt in conversation and run generation in that same conversation.

Practical Case 2: A 15-Second UGC Product Ad

A UGC ad needs two reference assets: the creator's appearance and the product image.

Creator reference. Generated with Image Fusion mode:

A young woman with long dark brown wavy hair and fine braids, center-parted, with two small flower hair clips, one pink and one blue. Light brown skin with freckles, brown eyes, light makeup. Pale yellow short-sleeve top with a floral fabric heart pattern, thin silver necklace, light blue wide-leg jeans, and white canvas shoes.

Product reference. Generate the product image with Image node:

A light pink matte film snack bag with embossed top and bottom seams. The package has a brand name and product information: lentil chips, pink salt and garlic flavor, with labels for plant protein, vegan, and gluten-free. The package text must be precise and readable.

Video generation. A 15-second vertical video in a handheld phone selfie style:

Part 1 (0-6 seconds): Handheld walking selfie. The creator holds the phone in her right hand at eye level, with the product bag gently shaking in her left hand. She walks through a bright, colorful living room: "So... these are the lentil chips I've been talking about." A strand of hair falls onto her face; she blows it away and smiles. Midway, she raises the product bag beside her face, front of the package facing the camera, with the text clearly readable: "Pink salt and garlic. Sounds kind of fancy... it really isn't."

Part 2 (6-11 seconds): She lowers the phone onto a waist-height countertop, and the image creates motion blur as the phone drops, hiding the edit. After the frame settles, it is slightly tilted, and she does not straighten it. She holds the product bag with both hands to show it: "It's so light. Like... air. And the garlic actually tastes like garlic." She blinks and quickly scratches her nose.

Part 3 (11-15 seconds): A visible UGC jump cut. She is suddenly a little closer. She loosely hugs the product bag to her chest and says quietly: "Third bag this week... not sorry." A nasal laugh, she tucks her hair behind her ear, then ends with one natural blink and a warm smile. Clean ending at 15 seconds.

The prompt locks in three things: who the creator is, what is written on the packaging, and the handheld phone feel that makes UGC look real.

Preset Skills in the Capability Marketplace

NadouPro's capability marketplace provides preset skills covering all kinds of creative scenarios. A message like "Using the attached creator image, create a complete UGC workflow for this product, from concept and script to a 9:16 final video" can trigger the complete pipeline: concept building, scriptwriting, visual generation, and final rendering.

Current skill categories include:

• Marketing: ad concepts and series content

• UGC creation: generating creator-style product videos from product photos

• Faceless content: voiceover videos without on-camera appearances

• Localization and adaptation: translation, subtitles, and cropping adaptations for different formats

• Motion graphics and design: brand visuals and animated infographics

FAQ

Q: Can videos generated by Canvas Agent reuse reference assets?

Yes. After you upload a reference image to the canvas space once, all later generations can call that asset. Character identities trained in Image Fusion mode can also be reused repeatedly in later creations.

Q: Do I need to write a very long prompt myself?

Not necessarily. You can describe a rough idea, and Canvas Agent will expand it into a complete production-ready prompt. Of course, the more detailed your requirement description is, the more precisely you can control the image. The long prompts in the two cases show the structure of production-ready prompts for reference.

Q: What if generation fails?

If a NadouPro generation task fails, the same amount of Beans is returned through the original route. In Canvas Agent, simply adjust the prompt and generate again.

Q: Can I adjust and regenerate multiple times in the same conversation?

Yes. Describe the part you want to adjust—action, composition, or style—and the agent will run a new generation with the updated prompt. Canvas Agent keeps the context, so later generations can reference previous results.

Q: What is the difference between Canvas Agent and the CLI command line?

Canvas Agent is suited to interactive creation that requires frequent adjustment and iteration. The CLI command line is suited to batch automation, such as generating multiple ad variants at once. They share the same set of models and asset space.

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Contains AI-generated information that may be incorrect. Please verify independently.