Vidu Studio neural network for free is searched for as a first test of generating videos from text, an image, a photo, or a reference. Vidu AI creates short video scenes based on a given description and source materials if the required mode is available in the selected interface. Before working, check free access, limits, export options, and the rules for using the finished video.
If a paid model is needed for the task—for example, GPT-5.6 Terra—it is cheaper to arrange access through the partner service Clodex rather than directly from the vendor. The price difference is shown below.
| Price type | Official vendor price | Through Clodex |
|---|---|---|
| Input tokens | 2 $ / 1 million tokens | 0,07 $ / 1 million tokens |
| Output tokens | 12 $ / 1 million tokens | 0,56 $ / 1 million tokens |
| Difference | Input tokens — в 28,6 times cheaper; Output tokens — в 21,4 times cheaper | |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
The essentials
- Vidu AI is used to generate videos from text, images, photos, and reference materials if the interface provides the corresponding modes.
- Vidu Studio is often called a workspace where users configure generation, upload materials, and save the result.
- Free access does not mean a permanent set of features: the service may change its limits, queue, export options, and license terms.
- Video quality depends on the source image, the clarity of the prompt, and the number of actions that need to be shown in a single shot.
- Photos of people, client materials, third-party illustrations, and branded layouts must not be uploaded without checking rights and a lawful basis.
- Before publishing, check the video for artifacts, distorted faces and hands, text legibility, logos, and rights to the source materials.
What is Vidu AI, and how is Vidu Studio different from other names?
Vidu AI is a neural-network tool for video generation. The user describes a scene in text or provides a source image, and the model creates a sequence of frames with movement of the object, camera, light, or surroundings. This approach is classified as AI video and video generator: the result is created by a neural network rather than assembled from ready-made editing templates.
Vidu Studio is a common search term for the interface or workspace used to create videos with Vidu AI. In it, the user selects a generation mode, adds a prompt, uploads a photo or reference, receives variations, and exports the result. Section and button names may change, so the instructions should be based on the process logic rather than a specific interface element.
Search results include sites with similar names, model aggregators, and independent video generators. The presence of the word Vidu in a domain or interface does not confirm that the platform is connected to the model developer. Check the service owner, the list of connected models, file-processing rules, the conditions for deleting generation history, and the license for the result.
For content-marketing tasks, it is useful to distinguish the model from the interface. The model is responsible for generating the video, while the interface determines which settings are available to the user, how project history is stored, and what export restrictions apply. This principle also works when choosing other tools from our collection of materials about AI.
Can Vidu Studio be used for free?
The Vidu AI neural network may be available for free as starter access, a trial mode, a limited number of generations, or a set of features with reduced parameters. The exact arrangement should not be considered permanent: the service terms change, and the available capabilities depend on the platform, account, and current product policy.
Free generation does not automatically grant the right to use a video in advertising, on a product page, or in a monetized YouTube video. The license for the result, watermark, export permission, available models, and project storage may differ even between two interfaces that use the same technology.
Registration also requires a separate check. An account may be needed to start generation, save history, or download a video. Before signing in, see what data the service requests, how it processes uploaded materials, and whether project deletion is available.
What to check before the first generation
- Free mode. Make sure that the service actually provides free access when you start, rather than merely displaying a pricing page.
- Generation types. Check whether text to video, image to video, and reference-based modes are available if they are needed for the task.
- Uploading materials. Check whether the interface allows your own photos, product images, and reference videos.
- Export. Check whether the finished video can be saved and whether a watermark, format restrictions, or a processing queue will appear.
- License. Read the terms of commercial use, especially for advertising, product listings, and client content.
- Data storage. Find out whether the service stores source images, prompts, and generation history after the work is completed.
What tasks can the Vidu neural network handle for free?
It is best to start a free Vidu test with a short and simple task. The neural network shows its strengths with one object, clear movement, and a limited number of details. A long storyline, an advertisement with precise packaging, or a scene with several characters requires multiple generations and subsequent editorial review.
Text-to-video
In text to video mode, the user describes the scene in words: the object, action, surroundings, style, lighting, angle, and camera movement. A short video with one action is easier to control than a prompt in which the character simultaneously walks, talks, changes clothes, interacts with objects, and appears in several locations.
For the first test, choose a neutral scene without brands or real people's faces. For example: “A white ceramic cup on a wooden table, light steam rising upward, soft morning light from a window, close-up, smooth camera push-in, no text and no change to the object's shape.”
Animating a photo and generating a video from an image
The image to video mode uses a photo or image as the basis for a scene. The source determines the composition, the appearance of the main object, the palette, and part of the visual style, while Vidu AI builds the movement between frames. Image-based generation is suitable for animating a product shot, portrait, illustration, or background scene for a presentation.
The neural network does not preserve every detail with absolute accuracy. Faces, fingers, jewelry, small text on clothing, patterns, labels, and complex backgrounds are often distorted during movement. If the frame contains packaging, a logo, or an inscription, the final video must be reviewed frame by frame.
Working with references
A reference helps set the palette, composition, pace, type of movement, or character of a shot. It does not guarantee an exact copy of the scene and does not eliminate the need to describe the result in the prompt. The more clearly you specify what should be transferred from the reference, the easier it is to assess whether the generation was successful.
Third-party videos, advertising campaigns, film fragments, and protected illustrations must not be used as source material without checking the rights. Part Four of the Civil Code of the Russian Federation regulates copyright and related rights to videos, images, design, music, and other results of intellectual activity.
Preparing short videos for content
The Vidu neural network can be tested for free for an intro, an atmospheric clip, an animated product shot, an illustration in a presentation, or a short scene for social media. For vertical video, prepare the composition for a mobile screen from the outset: place the main object in the center and do not put important text close to the edges.
A video generator does not replace editing. Music, subtitles, captions, graphics, precise synchronization, and assembling a long story are more conveniently handled in a separate editor after selecting the successful scenes.
How to create a video in Vidu Studio: workflow
Creating a video in Vidu Studio starts not with a prompt but with defining the task. Determine where the video will appear: in a social media feed, on a product page, in a presentation, or on YouTube. The format, composition, and text requirements depend on the publication method.
Prepare the task and source materials
Choose a vertical, horizontal, or square video format. For generation from a photo, use a clear source in which the main object is not cut off by the edge of the frame. Portraits with a covered face, a complex hand gesture, or many people are best avoided for the first test.
Before uploading, check the rights to the image. If the photo shows an employee, client, or another identifiable person, displaying and using their image usually requires consent, except in cases provided for by law. This rule is established by Article 152.1 of the Civil Code of the Russian Federation.
Choose a generation mode
Text to video is suitable when the scene is created entirely from a description. Choose image to video when it is important to preserve the composition of the source image. Use reference mode to convey dynamics or a stylistic direction if this function is available in the interface.
Do not choose a mode based only on its name. First answer the question: what must not change in the video? For a product, the packaging shape is critical; for a portrait, facial features matter; for an illustration, camera movement may be more important. The answer determines whether you need a text script, a source photo, or subsequent manual refinement.
Write the prompt
It is useful to build a prompt using the formula: object, action, surroundings, style, lighting, camera, restrictions. Each part answers a separate question and reduces the chance that the neural network will fill gaps with random details.
- Object: who or what is in the frame.
- Action: one clear movement of the object or camera.
- Surroundings: location, background, and important objects.
- Style and lighting: a visual treatment without replacing the story with words such as “beautiful” or “cinematic.”
- Restrictions: details that must not be added or changed, if the service supports such instructions.
A detailed request structure is useful not only for Vidu AI. In SEO Mind42, we discuss the use of language models and generative tools in our material about access to ChatGPT and AI tools for SEO.
Start the generation and compare the variations
The first generation serves as a draft. Compare the variations by movement, preservation of the object, and compliance with the prompt, then correct one cause at a time. If the neural network distorts the object, first simplify the action or background rather than adding ten more requirements to the request.
For example, for a portrait photo, it is enough at first to ask for a slight turn of the head or a smooth camera push-in. Trying to change the background, clothing, emotion, lighting, and hand position at the same time increases the risk of artifacts. This approach does not guarantee a perfect result, but it helps identify which element caused the error.
Check the video before exporting and publishing
A finished video should be assessed not only by its overall impression. Watch it on the device where the audience will see it and make sure that key details do not change during movement. For advertising and branded content, add a check of the legal rights to every noticeable element.
- The movement of the face, hands, clothing, and objects looks natural.
- Text, logos, packaging, and small details do not become deformed.
- There are no random objects, extra characters, or unwanted inscriptions in the frame.
- The video format matches the place of publication.
- The source materials, music, and graphics are used lawfully.
- The service license permits the selected method of publication.
If, while reading, you decide to choose a paid plan, compare the official price with the partner price before subscribing directly: the difference is usually several times greater, and the calculation is provided at the beginning and end of the article.
How to animate a photo in Vidu AI without unnecessary artifacts
To animate a photo in Vidu AI, start with one main object and one movement. The neural network preserves appearance and composition more easily when it does not have to change the pose, background, clothing, lighting, and camera position all at once.
Choose a sufficiently sharp photo in which the face is unobstructed and the hands and objects are fully visible. Save complex shots with reflections, dense patterns, small inscriptions, multiple people, and overlapping objects for the next stage, once you understand how the model responds to simple prompts.
Working rules for animating an image
- Request one simple action: slight camera movement, a head turn, fabric fluttering, or a change in lighting.
- Do not combine unrelated actions in a single prompt.
- If the interface supports constraints, ask it not to change the face or clothing, alter the shape of the product, or add text.
- Check each generation for changes to facial features, hands, logos, packaging, and inscriptions.
- Save a successful prompt together with the source image so you can repeat the approach for the next scene.
Negative constraints help guide the generation, but they do not provide complete control. Phrases such as “without text,” “do not change the face,” or “do not add objects” reduce the risk, but the model can still create an artifact. Manual review remains an essential part of the publishing process.
How to write prompts for Vidu AI in Russian
Russian can be used to specify the task, but the quality of interpretation depends on the mode, model, and prompt complexity. A Russian-language interface and the ability to understand Russian requests are not the same thing. Test this on a neutral scene before launching an important project.
Start with a simple scene
One object, one action, and one setting produce a clear result for evaluation. The wording “a ginger cat is sitting on a windowsill, it is raining outside, the camera is slowly moving closer” is more controllable than a description of a full story with several characters and abrupt changes in shots.
Specify the movement
The words “animate” or “make it dynamic” are too vague. Describe the movement directly: “the camera slowly moves closer,” “the wind gently moves the hair,” “the character looks to the side,” “the light changes from warm to neutral.” One action verb is often more useful than a long list of adjectives.
Separate style and plot
Style determines the appearance, while the plot explains what is happening in the frame. The phrase “cinematic style” does not tell the model how the character moves or where the camera is located. Describe the scene first, then add the palette, lighting characteristics, shooting type, and mood.
Specify what must not be changed
For product video, it is useful to specify that the shape, color, and composition of the object must be preserved. For a portrait, the face, hairstyle, and clothing are critical. If the tool supports such prompt constraints, ask it not to add text, change the character’s appearance, or create unnecessary objects, but check the result in the finished video.
Free photo-to-video generator: what to check before uploading materials
Choosing a free photo-to-video generator starts with the rules for processing source materials, not with an attractive demonstration on the home page. The service receives the image and sometimes also the project metadata, prompt, generation history, and account details. For a personal test, this represents one level of risk; for client materials and a database of employee photos, it represents another.
| Criterion | What to check |
|---|---|
| Generation mode | Whether the service supports image to video and allows you to specify movement. |
| Video format | Whether you can choose an aspect ratio for publication. |
| Project history | Whether prompts and files are stored and whether generated content can be deleted. |
| Free access | What limits, queue, export options, and visible restrictions apply at the time of use. |
| Commercial use | Whether the license permits advertising, monetization, and publication on brand platforms. |
| Source materials | Who is responsible for the rights to photos, people’s faces, brands, designs, and protected objects. |
If a photo can identify a person, check the legality of using the image and transferring the materials to a third-party service before uploading it. In Russia, the processing of personal data is regulated by the Federal Law “On Personal Data,” while Roskomnadzor performs the functions of the authorized body in this area. Publication of a citizen’s image also requires consideration of the provisions of Article 152.1 of the Civil Code of the Russian Federation.
Separate consent and the legal basis depend on the situation, the data involved, and how the video is used. A video generator does not assume this responsibility: the user must confirm that they have the right to upload the source materials and publish the result.
Vidu Studio, Vidu AI, and third-party services: how not to get confused
The query “Vidu download” does not always mean that a program file is needed. Many AI tools work through a browser, while third-party platforms may offer their own dashboard with access to several models. Before registering, it is useful to determine exactly where the generation runs and who provides the service.
A site with a Russian-language interface is not necessarily connected with the developer of Vidu AI. The Russian language also does not confirm identical conditions for support, free access, export, or commercial licensing. You need to read the terms on the platform where you will upload materials and receive the final video.
A third-party service may sometimes produce a result from a different model, even though it uses similar wording in its description. Compare the list of available tools, licensing rules, and data-processing practices. Do not rely solely on the page title, logo, or advertising banner.
Vidu neural network limitations and when conventional editing is needed
Vidu AI creates a video scene, but it does not guarantee the exact preservation of all details between frames. The neural network may change anatomy, the shape of objects, text on packaging, logos, reflections, and the background. The more objects interact in a scene, the harder it is to control the result.
A long story is better divided into short fragments. Create the opening shot, character movement, close-up of the object, and final scene separately, then assemble them in a video editor. This approach provides more control over pacing, titles, music, and transitions.
Conventional editing is needed when you require precise duration, synchronization with speech, branded graphics, readable subtitles, consistent product packaging, or a legally cleared set of materials. The neural network speeds up the creation of rough scenes, but it does not eliminate editing or branding checks.
For SEO and content teams, it is useful to incorporate AI video into a clear production process: idea, script, fragment generation, rights verification, editing, and publication. Read about the legal and organizational issues involved in using neural networks in Russia in our article on lawful AI use.
Practical conclusions
Vidu Studio and Vidu AI are suitable for testing ideas, animating images, and creating short video scenes. Treat the free mode as an opportunity to evaluate the tool, not as a permanent condition for ongoing content production.
The first result is usually improved not by making the prompt more complex, but by simplifying the scene. A high-quality source photo, one action, clear camera movement, and artifact checks provide more control than a long description with numerous requirements.
- Check the available modes, limits, export options, and license before uploading materials.
- Start with a short video, one object, and one action.
- Do not publish a generation without checking the face, hands, text, logos, and rights to the source materials.
- Create serialized content through fragment generation, editing, and branding checks.
FAQ
What is Vidu Studio?
Vidu Studio is a search name for the interface or working environment where users create videos with Vidu AI. Before starting, check the platform, available modes, file storage, and rules governing the use of the result.
Can Vidu AI be used for free?
Free access may exist in a limited format, but its terms depend on the service’s current policy. Before generating, check the limits, export options, watermark, queue, and commercial-use rules.
How do you animate a photo in Vidu?
Select the image-generation mode, upload the source photo, and specify one simple movement. For the first test, use a shot with one main object, without a complex background, small text, or a large number of people.
Can you write prompts for Vidu AI in Russian?
Russian can be used to describe the scene, but the quality of interpretation depends on the model, mode, and complexity of the request. Start with a simple task and compare the result with a more detailed prompt.
Can videos from Vidu be published in advertising or on YouTube?
This depends on the license of the selected platform and the rights to the source materials. Check the photo, the person’s image, music, logos, packaging, graphics, and other protected elements separately.
Why does Vidu AI change the face, hands, or text in an image?
The neural network fills in the frames and does not always preserve small details in motion. The risk increases with complex poses, multiple people, inscriptions, patterns, accessories, and attempts to specify many unrelated actions at once.
SEO Mind42 publishes free practical materials about AI tools, prompts, and promotion. If you are testing video generation for content, check the service terms before starting and use the neural network as part of the editorial process, not as a substitute for reviewing the result.
Paid access through the API
If the free limits are not enough, API access to the models can be obtained directly from the vendor or through the Clodex partner service — below is a comparison of official prices and the partner price. For example, GPT-5.6 Terra is 28,6 times cheaper through the partner than at the official price — the complete list of models is provided in the table.
| Model | Official: input / output | Through Clodex: input / output |
|---|---|---|
| qwen3.6-flash | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens | Input: 0,019 $ / 1 million tokens Output: 0,019 $ / 1 million tokens |
| qwen3.6-plus | Input: 0,5 $ / 1 million tokens Output: 3 $ / 1 million tokens | Input: 0,032 $ / 1 million tokens Output: 0,032 $ / 1 million tokens |
| qwen3.7-plus | Input: 0,4 $ / 1 million tokens Output: 1,6 $ / 1 million tokens | Input: 0,045 $ / 1 million tokens Output: 0,045 $ / 1 million tokens |
| codex-auto-review | — | Input: 0,0525 $ / 1 million tokens Output: 0,0525 $ / 1 million tokens |
| gemini-3.7-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-high | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-low | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-medium | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| qwen-image-2.0 | — | 0,06 $ / шт. |
| gpt-5.6-luna | Input: 0,2 $ / 1 million tokens Output: 1,2 $ / 1 million tokens | Input: 0,063 $ / 1 million tokens Output: 0,504 $ / 1 million tokens |
| grok-composer-2.5-fast | — | Input: 0,068 $ / 1 million tokens Output: 0,068 $ / 1 million tokens |
| clodex-cursor | — | Input: 0,07 $ / 1 million tokens Output: 0,07 $ / 1 million tokens |
| gpt-5.6-terra | Input: 2 $ / 1 million tokens Output: 12 $ / 1 million tokens | Input: 0,07 $ / 1 million tokens Output: 0,56 $ / 1 million tokens |
| deepseek-v4-pro | Input: 1,32 $ / 1 million tokens Output: 3,96 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.5 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.6 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| clodex-cursor-pro | — | Input: 0,084 $ / 1 million tokens Output: 0,084 $ / 1 million tokens |
| gemini-3.6-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,09 $ / 1 million tokens Output: 0,36 $ / 1 million tokens |
| kimi-k3 | — | Input: 0,09 $ / 1 million tokens Output: 0,09 $ / 1 million tokens |
| glm-5.2 | — | Input: 0,1 $ / 1 million tokens Output: 0,1 $ / 1 million tokens |
| gpt-image-2 | — | 0,1 $ / шт. |
| nano-banana-2 | — | 0,1 $ / шт. |
| deepseek-v4-flash | Input: 0,44 $ / 1 million tokens Output: 1,32 $ / 1 million tokens | Input: 0,12 $ / 1 million tokens Output: 0,12 $ / 1 million tokens |
| qwen-image-2.0-pro | 0,075 $ / шт. | 0,12 $ / шт. |
| qwen-image-3.0-pro | — | 0,12 $ / шт. |
| qwen3.7-max | Input: 2,5 $ / 1 million tokens Output: 7,5 $ / 1 million tokens | Input: 0,13 $ / 1 million tokens Output: 0,13 $ / 1 million tokens |
| glm-5.3 | — | Input: 0,15 $ / 1 million tokens Output: 0,15 $ / 1 million tokens |
| MiMo-V2-Flash | — | Input: 0,162116 $ / 1 million tokens Output: 0,162116 $ / 1 million tokens |
| qwen3.8-max | — | Input: 0,17 $ / 1 million tokens Output: 0,17 $ / 1 million tokens |
| grok-imagine-video-1.5 | — | 0,18 $ / шт. |
| MiniMax-M2.1 | — | Input: 0,2 $ / 1 million tokens Output: 0,2 $ / 1 million tokens |
| MiniMax-M2.5 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M2.7 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M3 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| gpt-5.5 | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| gpt-5.6-sol | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 2 $ / 1 million tokens |
| claude-haiku-4-5 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-haiku-4-5-20251001 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-opus-4-7 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,3 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| claude-sonnet-4-6 | Input: 3 $ / 1 million tokens Output: 15 $ / 1 million tokens | Input: 0,34125 $ / 1 million tokens Output: 1,70625 $ / 1 million tokens |
| claude-sonnet-5 | Input: 2 $ / 1 million tokens Output: 10 $ / 1 million tokens | Input: 0,35 $ / 1 million tokens Output: 1,75 $ / 1 million tokens |
| Kimi-K2 | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| Kimi-K2-Thinking | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| MiniMax-M2.7-highspeed | — | Input: 0,44466 $ / 1 million tokens Output: 0,44466 $ / 1 million tokens |
| claude-opus-4-8 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,45 $ / 1 million tokens Output: 2,25 $ / 1 million tokens |
| kimi-k2.5 | — | Input: 0,489655 $ / 1 million tokens Output: 0,489655 $ / 1 million tokens |
| kimi-k2.6 | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| kimi-k2.7-code | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| claude-opus-5 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,85 $ / 1 million tokens Output: 0,85 $ / 1 million tokens |
| kimi-k2.7-code-highspeed | — | Input: 1,402797 $ / 1 million tokens Output: 1,402797 $ / 1 million tokens |
| claude-fable-5 | Input: 10 $ / 1 million tokens Output: 50 $ / 1 million tokens | Input: 2,5 $ / 1 million tokens Output: 2,5 $ / 1 million tokens |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
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