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Introduction:
Mirage is an AI-powered platform that enables the rapid generation of 3D designs from text prompts. It also streamlines asset management by eliminating the need for manual tagging, allowing users to locate assets within libraries without relying on filters or endless scrolling.
Mirage Product Information
What is Mirage?
Mirage is an AI-powered platform designed to generate 3D designs quickly from text descriptions. It also eliminates tagging for asset search, supercharging asset libraries. Companies use Mirage to help their customers find the right assets without tags, filters, or infinite scrolling.
How to use Mirage?
To generate 3D designs, simply enter a text description of your desired output. For asset search, connect Mirage to your library so the AI can index your assets for optimized retrieval. You can then use the Mirage search feature to locate the most relevant assets efficiently.
Mirage's Core Features
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AI-powered 3D design generation from text
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Tagless asset search
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AI-driven asset indexing
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Similar item search
Mirage Use Cases
#1
Generating 3D meshes and textures from text descriptions.
#2
Locating assets in a library without the need for manual tagging or filtering.
#3
Assisting customers in finding the right assets quickly and efficiently.
#4
Enhancing asset search capabilities and improving the overall user experience.
FAQ from Mirage
How does Mirage eliminate the need for manual tagging in asset search? +
Mirage utilizes AI to index and interpret your assets, removing the requirement for manual tagging. Its search algorithm accesses the latent space to surface items that match the user's descriptive search queries.
What types of assets is Mirage capable of searching? +
Mirage supports searching across various media types, including images, 3D assets, video, music, and audio.
How does Mirage maintain data privacy? +
Mirage is granted read-only access to your library, ensuring that your data remains private.
Mirage Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Mirage.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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