Create Imagined 3D Worlds with AI

Written By Aholo3d

Last updated 2 months ago

You can use a text prompt, an image, or a combination of both to generate a panoramic scene and automatically create a corresponding Aholo project with one click.

The generated project can then be opened and edited in the editor.

1. Access the AI Spatial Generation

Log In and Enter the Workspace

  • Go to the Aholo website and log in to your account

  • Enter the workspace and click “Create”

  • Select “AI Spatial Gen” from the creation methods

Available input methods:

  • Image

  • Text

  • Text + Image

2. Supported Input Types and Requirements

2.1 Text Generation

Generate a panoramic scene and create an Aholo project from a descriptive text prompt.

Text Length

  • Minimum recommended: 20 characters

  • Recommended: 50–300 characters
    (More detailed descriptions generally produce results that better match your intent.)

Prompt Suggestions

Include:

  • The space type (living room, bedroom, dining room, office, etc.)

  • The visual style (modern, Scandinavian, Japanese, industrial, etc.)

  • Optional details such as colors, materials, lighting, and decorative elements

Example

“A modern living room with a gray fabric sofa, wooden flooring, large floor-to-ceiling windows, abundant natural light, and a minimalist TV feature wall.”

2.2 Image Generation

Generate a panoramic scene and create an Aholo project based on a reference image.

Supported Formats

  • .jpg

  • .jpeg

  • .png

  • .webp

Image Size Requirements

  • 480 × 480 to 4000 × 4000

2.3 Text + Image Generation

You can provide both a text description and an image so the AI can reference both visual and textual information to generate a more accurate scene.

Recommended Usage

  • Use the image to provide the overall layout and base style

  • Use text to specify detailed requirements such as:

    • Color adjustments

    • Furniture additions/removals

    • Material preferences

    • Decorative changes

3. Generate the Panorama and Aholo Project

Submit a Generation Task

  • Enter text / upload an image / use a text + image combination

  • Click “Create” to start the task

Processing Time

Generation time may vary depending on:

  • The complexity of the text or image

  • Current queue volume

Typically:

  • Panorama generation completes within 3 minutes

  • Gaussian reconstruction results are generated within 15 minutes

4. View and Manage Generated Results

Once AI generation is complete, the system will automatically create a corresponding Aholo project, which you can view and manage in the workspace.

View Generation History

Go to:

  • “My Projects” in the workspace

  • or “AI Generation History”

Find the newly created AI-generated 3DGS project.

Open in the Editor

Click “Open in Editor”.

You can then edit and optimize the project, including:

  • Model adjustments

  • Annotations

  • Measurements

  • Other core editing operations

5. Available Operations in the Editor

After opening the generated AI project, you can perform editing operations similar to reconstruction-based projects, including but not limited to:

View Navigation

  • Pan, rotate, and zoom the camera

  • Navigate through panoramas or switch viewpoint positions

Model and Space Editing

  • Adjust furniture placement

  • Add or remove objects

  • Modify materials, colors, and decorative elements
    (depending on feature support)

Annotation and Measurement

  • Add hotspot annotations and text descriptions

  • Measure and mark key dimensions

Export and Sharing

  • Export presentation images or videos

  • Generate shareable links for internal review or public presentation

6. Best Practices

  • Use clear and complete reference images whenever possible to help the AI better understand the spatial layout.

  • Be specific about the space type, style, and key elements in your prompts to avoid overly vague results.

  • If you are not satisfied with the generated result, you can keep the existing project and try multiple prompt variations for easier comparison and iteration.