# Text Prompts

Text prompts are your primary way of communicating your desired outcome to Fater's AI models. Whether generating images, videos, or potentially influencing 3D assets, a well-crafted prompt is essential for achieving high-quality, relevant results. A few models also support [Negative Prompts](/fater-ai-docs/core-concepts-ai-and-editor-features/negative-prompts.md) to steer the AI away from unwanted elements.

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### Positive Prompts (The "What")

* **Purpose:** The main text description telling the AI **what you want to create or see**.
* **Content:** Describe the subject, scene, style, colors, lighting, composition, and any specific details you envision.
* **Where to Use:**
  * The main input field in the **Floating Prompt Area** (for Image, Asset, and Video generation).
  * The **Agent Chat** in the Settings Tab (to instruct the Agent).
  * Specific "Prompt" fields within certain AI Model control panels (though often linked to the Floating Prompt Area).

**Tips for Effective Positive Prompts:**

1. **Be Specific & Detailed:** Instead of `car`, try `red 1960s sports car driving on a coastal road at sunset, cinematic lighting`. More detail gives the AI better direction.
2. **Use Strong Keywords:** Focus on nouns, adjectives, and verbs that clearly define the core elements and style.
3. **Consider Style & Medium:** Add terms like `photorealistic`, `illustration`, `watercolor style`, `cinematic lighting`, `3D render`, `architectural sketch`, `product shot on white background`.
4. **Mention Composition:** Use terms like `wide angle shot`, `close-up portrait`, `top-down view`, `rule of thirds`.
5. **Quality Boosters:** Often helpful to include terms like `masterpiece`, `best quality`, `high resolution`, `detailed`, `sharp focus`. (Some models include these by default).
6. **Iterate:** Your first prompt might not be perfect. Analyze the result and refine your prompt based on what you want to change.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://fater.gitbook.io/fater-ai-docs/core-concepts-ai-and-editor-features/text-prompts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.