Glid 3 Xl


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glid-3-xl is a text-to-image model with 1.4 billion parameters. It has been developed by CompVis and is trained on CLIP text embeddings and curated data. The model takes textual descriptions as input and generates corresponding images as output.

Use cases

The glid-3-xl text-to-image model opens up several exciting possibilities for practical applications across various domains. One potential use case is in the e-commerce industry, where the model can generate realistic product images based on textual descriptions, enabling fast and accurate visual representation of items for online shoppers. This can enhance the user experience and potentially increase sales. Another use case is in virtual reality and gaming, where the model can be used to quickly generate lifelike environments or characters based on textual narratives, saving time and resources in the development process. In the field of content creation, the model could be utilized to automatically generate visual assets for articles, blog posts, or marketing materials based on written text, reducing the need for manual design work. Additionally, the model can aid in data visualization by transforming textual data into visual representations, making complex information more accessible and understandable. Overall, with its high parameter count and ability to create realistic images from text, glid-3-xl holds promise for a range of products and practical uses in industries requiring text-to-image conversion.



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Nvidia T4 GPU

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Summary of this model and related resources.

Model NameGlid 3 Xl

A 1.4B parameter text2im model from CompVis, finetuned on CLIP text embeds ...

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Github LinkView on Github
Paper LinkView on Arxiv


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Prediction HardwareNvidia T4 GPU
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