Min Dalle



min-DALL路E is a fast, minimal port of the DALL路E Mini model. It is a PyTorch implementation that allows for generating images based on text input. The model has been optimized for inference and has minimal third-party dependencies. It can generate a 4x4 grid of DALL路E Mega images in just a few seconds using GPUs. The model parameters are loaded once and can be reused to generate multiple images. The generated images can be saved individually and can be processed manually if desired. In addition, there is an option for progressive outputs, where images are generated in a stream, and a command-line interface for generating images.

Use cases

min-DALL路E can be used in a variety of applications. For example, it can be used in art and design to automatically generate images based on textual descriptions or prompts. This can be useful in graphic design, advertising, and other creative fields where quick image generation is required. It can also be used in virtual reality and gaming, where AI-generated images can be used to create immersive environments and characters. Additionally, min-DALL路E can be used in content generation for social media and marketing campaigns, where unique and visually appealing images are needed to capture users' attention. Overall, this AI model has the potential to power a wide range of products and services in various industries.


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You can use this area to play around with demo applications that incorporate the Min Dalle model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.


Summary of this model and related resources.

Model NameMin Dalle

min(DALL路E) GitHub This is a fast, minimal port of Bori...

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Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided


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