# Txt2Vid

Simply input a piece of text, and SeaArt can accurately generate corresponding video scenes based on your description. Whether it's a complex scene setting or a simple creative idea, it efficiently transforms your words into vivid, lifelike dynamic visuals.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FDUIepixJFSWXgHlmj33G%2F%E4%BC%81%E4%B8%9A%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20250122152232.png?alt=media&#x26;token=ca524cfd-669e-442f-9dfe-0b0bff305306" alt=""><figcaption></figcaption></figure>

## **Prompt Framework**

<mark style="color:purple;">Main Subject</mark> + <mark style="color:orange;">Movement</mark> + <mark style="color:red;">Environment</mark> + <mark style="color:yellow;">Camera</mark> + <mark style="color:green;">Lighting & Atmosphere</mark>

<mark style="color:purple;">**Main Subject**</mark>**&#x20;**<mark style="color:orange;">**Movement**</mark><mark style="color:orange;">:</mark> The main subject is the core content of the video, which can be a **person, animal, object, etc**. Then describe the **movement** of the subject.

<mark style="color:red;">**Environment**</mark><mark style="color:red;">:</mark> The environment sets the scene and atmosphere for the video, helping to emphasize the subject and convey emotion. Environmental prompts can describe **specific locations, weather, time, and details** in the scene.

<mark style="color:yellow;">**Camera**</mark><mark style="color:yellow;">:</mark> Camera movement can create more visually impactful scenes, including camera actions and perspectives, such as **close-ups, blurred backgrounds, low-angle shots, etc.**

<mark style="color:green;">**Lighting & Atmosphere**</mark><mark style="color:green;">:</mark> Lighting and atmosphere determine the overall visual presentation and aesthetics of the video, which can greatly enhance the visual expression, such as **sunset, cinematic atmosphere, fog, etc.**

**Tips:**

1. Accurately describe the subject, and it is recommended to use smooth and concise sentences.
2. Ensure the completeness of the prompts, and consider using Prompt Refinement to expand the prompts.
3. Use short sentences for descriptions, keeping the scene content simple, aiming to complete the display within 5-10 seconds.
4. For split-screen scenes, use prompts like <mark style="background-color:yellow;">"4 camera angles, cat, dog, bird, mouse."</mark>
5. When describing quantities, it can be challenging to maintain consistency, such as "5 apples on the table."

## Prompt Analysis

Text-to-Video mainly includes: <mark style="color:purple;">subject</mark> + <mark style="color:orange;">action</mark> + <mark style="color:red;">scene</mark>. To add more detail and atmosphere to the video, you can appropriately expand the prompts. Try to maintain the completeness of each element during the description.

For example:

> A <mark style="color:purple;">ginger cat</mark> <mark style="color:orange;">sleeping</mark> on the <mark style="color:red;">windowsill</mark>.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FTSeeAKhF5XnAunGPwowL%2F1737370545959video111.gif?alt=media&#x26;token=6e6172cf-a654-4c7f-88d5-7a7cc3ad04b3" alt="" width="563"><figcaption></figcaption></figure>

> <mark style="color:purple;">A ginger cat</mark> <mark style="color:orange;">curls up</mark> on the <mark style="color:red;">windowsill</mark>, <mark style="color:red;">with sunlight streaming through the window</mark> and casting a warm glow on its soft fur. The cat peacefully closes its eyes, <mark style="color:red;">while the green trees outside sway gently in the breeze</mark><mark style="color:yellow;">.</mark> The air is filled with the calmness of the afternoon.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FVoPx51LtSAxLt7GijAp3%2F1737426263293video22_compressed.gif?alt=media&#x26;token=1157ef69-8514-48cc-bd02-ad26697337d3" alt="" width="563"><figcaption></figcaption></figure>

> The <mark style="color:purple;">ginger cat</mark>'s <mark style="color:orange;">silhouette is bathed in warm sunlight</mark>, <mark style="color:yellow;">with the background blur</mark>red<mark style="color:green;">,</mark> turning the images of <mark style="color:red;">trees and window</mark> frames into soft color blocks. <mark style="color:green;">The indoor lighting is gentle</mark>, evoking a sense of peaceful tranquility. The scene is captured with a <mark style="color:yellow;">soft-focus effect</mark>, emphasizing the cat's serenity and relaxation.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FavVrt17Ue9CeTxaevpDA%2F1737425232418video3_compressed.gif?alt=media&#x26;token=c661aa31-18b6-4a1c-94b3-11967918598f" alt="" width="563"><figcaption></figcaption></figure>

When generating text-to-video, you can not only input the corresponding prompts for the shots but also use Camera Control for more precise control over the camera.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FGyfCLmpKGWWA3QSCKjry%2F2.png?alt=media&#x26;token=5066141a-dc81-44ee-bfbe-46790183ec1a" alt=""><figcaption></figcaption></figure>

For related camera control videos, click below:

{% content-ref url="camera-movement" %}
[camera-movement](https://docs.seaart.ai/guide-1/2-seaart-ai-basic-function/2-8-ai-video-generation/camera-movement)
{% endcontent-ref %}

After the video is generated, click "Intelligent Ultra-HD" to get a clearer version of the video.

<figure><img src="https://2219884424-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FigAtVLBrlaI8jVruJfC8%2Fuploads%2FIUBtPKtlK8yucDySHiuJ%2Fhd.png?alt=media&#x26;token=b1b59224-d085-4d44-b525-b61ef6b7e768" alt=""><figcaption></figcaption></figure>