Risposta rapida: Agnes Video V2.0 is currently listed by Agnes AI at $0 per second of generated video. It supports text-to-video, image-to-video, and keyframe animation through an asynchronous API. The $0 rate is shown as a current price alongside a standard price of $0.005 per second, so treat it as a current promotion—not a promise of permanent free access.
If you want to test AI video generation without immediate per-second charges, Agnes Video 2.0 is worth a close look. It is aimed at developers and creative teams that need controllable video generation for marketing, short-form content, product demos, story scenes, and motion experiments. This guide explains what the current free pricing means, what the model can do, and how to create stronger prompts.
What “Free” Means for Agnes Video 2.0 Right Now
The most important detail is precision. Agnes AI’s current official documentation lists video duration at $0 per second. The same pricing section shows a standard price of $0.005 per second. In practical terms, that makes Agnes Video V2.0 a currently free way to generate video through the API, but pricing can change.
For that reason, do not build an unlimited-production promise into a client proposal or a long-term budget. Check the live documentation before a large run, and keep a record of the applicable terms for commercial work. You will also need a valid Agnes AI API key to submit requests.
What Agnes Video V2.0 Can Do
Agnes Video V2.0 is a production-oriented video generation model. According to the official documentation, it supports three core workflows:
- Text-to-video: generate a scene from a written prompt.
- Image-to-video: animate a publicly accessible source image.
- Keyframe animation: create a transition between multiple reference frames.
The model also accepts controls for the prompt, negative prompt, seed, dimensions, frame count, and frame rate. Requests are asynchronous: you create a video task, then retrieve the result with the returned video_id o task_id. For a new integration, Agnes recommends using video_id to retrieve the final result.
How to Create a Video With Agnes Video 2.0
The workflow is simple, even though the generation itself happens in the background:
Agnes documents a default request size of 1152 × 768, but the service may normalize submitted settings to a supported output. Use the returned secondi, dimensione, e metadata.size_mapping fields as the source of truth for the delivered video.
Write Better Prompts for Better AI Video
A strong prompt describes more than a subject. The official guidance recommends combining the subject, action, scene, camera movement, lighting, and style. That structure gives the model concrete visual decisions instead of a vague theme.
Text-to-video prompt example
A young astronaut walks across a red desert planet, dust blowing in the wind, slow cinematic tracking shot, dramatic sunset lighting, realistic sci-fi style.
For image-to-video, say what should move and what should stay stable. For example: “Animate subtle breathing, gently moving hair, and flickering background lights while keeping the face and outfit consistent.” For keyframe animation, describe the relationship between the first and final frames, along with the camera angle and motion you want preserved.
Duration, Frame Rate, and Format Choices
Duration is controlled by num_frames ÷ frame_rate. Agnes states that num_frames must be 441 or fewer and follow the 8n + 1 rule. At 24 fps, common documented combinations are 81 frames for about 3 seconds, 121 frames for about 5 seconds, 241 frames for about 10 seconds, and 441 frames for about 18 seconds.
Use a landscape format for product demos and web video, a vertical format for Shorts, Reels, and TikTok-style posts, and square framing for feed-first social content. The documented output tiers are 480p, 720p, and 1080p; actual output can be normalized from your submitted request.
Three Reproducible Agnes Video 2.0 Examples
The examples below are not claimed as filmed or independently benchmarked results. They are reproducible workflows built from the controls and prompt pattern in the official Agnes Video V2.0 documentation. They are useful because they turn broad capabilities into a request you can actually submit, inspect, and improve.
Example 1: Turn a Product Idea Into a Five-Second Launch Clip
The problem: You have a product concept but no studio shoot, motion designer, or finished packaging video. A short landscape clip can help a team decide whether the visual direction is worth producing.
Suggested request: use text-to-video at 1152 × 768 with num_frames: 121 e frame_rate: 24. That is the official example for roughly five seconds. Keep the scene simple: one product, one camera move, and one lighting direction.
Reproducible prompt
What to judge in the output: Is the mug’s silhouette stable? Does the camera move in one readable direction? Do reflections add polish without warping the product? If the object changes shape, shorten the prompt, remove secondary effects, and repeat with a fixed seme so you can compare revisions more cleanly.
Why this is persuasive: it creates a decision asset, not just a pretty clip. A marketing team can test the lighting, angle, and visual mood before budgeting a real product shoot. At the official current rate, a five-second request is $0; at the listed standard rate it would be $0.025. The latter is a reference calculation, not a promise of future pricing.
Example 2: Animate an Existing Product Image for Social
The problem: You already have a clean product image, but a static post has less stopping power in a vertical social feed. Agnes Video V2.0 supports image-to-video, so the source image can provide the core subject and composition while the prompt defines motion.
Suggested request: host the image at a publicly accessible URL, add it as the immagine parameter, and use a short motion-focused prompt. For a mobile-first test, request a vertical composition and start with either 81 or 121 frames at 24 fps. The returned size, not the submitted dimensions, is the final authority because Agnes can normalize the request.
Reproducible prompt
What to judge in the output: The key test is identity retention. The label should remain readable enough to recognize, the bottle should not grow a new cap or change color, and motion should support the image instead of overwhelming it. If the source is a real brand asset, compare the generated frame by frame with the original before publishing.
Where it fits: product teasers, ecommerce social posts, app-store previews, or a concept board for a campaign. This approach does not replace a final commercial shoot when exact branding is non-negotiable. It is a fast way to discover whether a still image has enough visual potential to deserve more production time.
Example 3: Build a Before-and-After Transition With Keyframes
The problem: A traditional edit can jump abruptly from an empty room to a finished interior, from a wireframe to a product screen, or from a daytime scene to a night scene. Keyframe animation gives the model a starting and ending visual state, then asks it to generate the motion between them.
Suggested request: provide an array of publicly accessible keyframe image URLs in extra_body.image, set extra_body.mode a keyframes, and explain the transition rather than merely listing the two images. A five-second run at 121 frames and 24 fps is a sensible first test.
Reproducible prompt
What to judge in the output: Look for a stable camera angle, continuous room geometry, and a transformation that reads as intentional rather than random. If the room layout drifts, simplify the images so they share the same perspective. If the transition is too busy, use fewer visual changes between the first and last keyframe.
Why this has commercial value: it gives architects, interior teams, product marketers, and presentation designers a way to communicate change in a single shot. The result is a concept visualization, not a construction record; the difference matters when clients or regulated claims are involved.
What the Current $0 Pricing Looks Like in Practice
The free angle is strongest when it is quantified honestly. Agnes lists the current price as $0 per second and the standard price as $0.005 per second. The table below multiplies the documented standard rate by common durations; it is a planning comparison, not a quote or a forecast.
Camera test
$0 now · $0.015 standard
Product or social clip
$0 now · $0.025 standard
Story beat
$0 now · $0.050 standard
Longer concept
$0 now · $0.090 standard
The standard-price examples multiply the documented $0.005 per-second rate. They are not a quote or a forecast; confirm the live rate before budgeting.
The practical benefit is iteration. A creative team can run several short tests—one prompt with a locked camera, one with softer light, and one with a closer framing—without immediately turning experimentation into a line-item cost. That is different from assuming every generation is usable. Treat early runs as visual R&D, choose the best direction, then use a smaller number of deliberate revisions.
Where Agnes Video 2.0 Needs a More Careful Workflow
- Too many actions in one prompt: A character cooking, dancing, opening a door, and looking at the camera asks for too many changes in a short clip. Split it into separate shots.
- Brand-critical images: Image-to-video can be useful for concepting, but do not assume a logo, label, face, or product geometry will stay exact. Review every frame before external use.
- Unexpected output dimensions: Agnes can normalize width, height, and aspect ratio. Build your edit around the returned
dimensioneemetadata.size_mapping, not the requested settings alone. - Longer duration requests: More seconds give a scene more room, but not necessarily more narrative coherence. Prove a single shot first, then assemble multiple reliable clips in an editor.
- Queue and API failures: The official task states include queued, in-progress, completed, and failed. Your integration should poll deliberately and surface an error state instead of assuming every request will immediately return a video.
The better workflow is not “type one huge idea and hope.” It is: choose one shot, decide what must remain stable, state one motion, inspect the result, and only then add complexity. That approach makes the current free pricing more useful because it turns zero-cost generation into a structured testing loop rather than wasted volume.
Agnes Video 2.0 Free FAQ
Is Agnes Video 2.0 free?
As of August 24, 2026, the official Agnes Video V2.0 documentation lists a current price of $0 per second. It also lists a standard price of $0.005 per second, so verify the current rate before production use.
Does Agnes Video V2.0 support image-to-video?
Yes. The official documentation lists image-to-video and keyframe animation alongside text-to-video. Image-based workflows require publicly accessible image URLs.
How long can an Agnes Video V2.0 video be?
Duration depends on frame count and frame rate. The documented maximum frame count is 441, and the official examples show roughly 3-, 5-, 10-, and 18-second outputs at 24 fps.
Can I use Agnes Video V2.0 for a product or marketing concept?
Yes, the official documentation lists marketing videos and product demos as use cases. For published brand material, inspect the final output carefully because AI generation may not preserve exact logos, labels, product geometry, or legal claims.
What is the best first prompt for Agnes Video V2.0?
Start with one subject, one action, one setting, one camera move, and one lighting or style instruction. The official prompt pattern is subject plus action plus scene plus camera movement plus lighting plus style. Keep the first run simple, then iterate.
Conclusione
Agnes Video V2.0 is currently a compelling free AI video API option because its published current rate is $0 per second and it provides text-to-video, image-to-video, and keyframe workflows. Use it to test concepts, prototype motion, and build a repeatable generation process—but describe the benefit accurately: it is currently free, not verified as permanently free.
Explore Related AI Video Generators
Agnes is a strong fit when the current $0-per-second API rate is the deciding factor. If your next project needs a different visual direction, start from the Free AI Video Generator hub, then choose a model based on the shot you actually need.
Fonti: Agnes Video V2.0 official documentation e Agnes AI (checked August 24, 2026).
