> For the complete documentation index, see [llms.txt](https://support.skylum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.skylum.com/editing-tools/landscape-tools/atmosphere-ai.md). # Atmosphere AI Explore how Atmosphere AI adds realistic environmental effects to your photos with ease. **Atmosphere AI** uses content-aware and depth masking to place a fog, mist, or haze in an image’s background and/or foreground. This smart tool prevents the subject of your photograph (such as a person or tree) from being covered by the atmospheric effect and positions the effect in a way that maintains a realistic look. ### Atmosphere AI Improved {% hint style="info" %} **Note:** Atmosphere AI Improved is available starting with Luminar for Desktop 1.29.0 for users with eligible plans and licenses. {% endhint %} Improved Atmosphere AI creates more realistic, three-dimensional fog that blends naturally into the scene. The effect adapts to the depth, colors, and lighting of your photo for a more immersive result. Choose one of the available fog presets and use the following controls to customize the effect: * **Ground Fog, Wispy Fog, Heavy Fog**. Choose a preset to set the starting look and behavior of the fog. * **Amount**. Controls the intensity and density of the fog effect. * **Depth Map**. Adjusts where the fog is positioned within the depth of the scene. Move the control to bring the fog closer to or farther from the camera while keeping the foreground clear when needed. * **Clouds Drift**. Moves the fog through the scene. Drag the control horizontally, vertically, or diagonally to change the position of the clouds and create the desired atmospheric look. * **Height**. Controls how high the fog rises within the scene. #### Advanced Controls Expand the **Advanced** section for additional control over the appearance of the fog: * **Patchiness**. Adjusts the distribution and texture of the fog to create a more uniform or broken-up appearance. * **Cloud Size**. Controls the size and scale of the fog formations. * **Vibrance**. Adjusts the intensity of the colors picked up by the fog from the photo. Atmosphere AI automatically adapts the fog to the colors and lighting of your photo. Light sources such as the sun, streetlights, and headlights can naturally illuminate the fog, while improved depth processing helps preserve fine details and create more realistic transitions around objects. ### Atmosphere AI Regular {% @arcade/embed url="" flowId="aeP8O0HUB11NxKgM8qlB" %} * **Mode**. This drop-down lets you choose between four atmospheric effects: Fog, Layered Fog, Mist, and Haze. Fog and Mist can fill most of the frame (depending on the Depth slider), whereas Layered Fog and Haze are mainly applied in the lower third. * **Amount**. This slider sets the intensity of the atmospheric effect and is set to 0 by default. Increase the value to apply AtmosphereAI adjustments to your image. * **Depth**. This slider adjusts the depth of the atmospheric effect. Increasing the Depth value brings the effect closer to the front of the frame. * **Lightness**. This slider is set to the maximum value of 100 by default. To make your atmospheric effect darker or more subdued, decrease the Lightness value. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://support.skylum.com/editing-tools/landscape-tools/atmosphere-ai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.