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clipdraw is a model that uses a deep learning approach to generate drawings that match a given text prompt. It takes a text input and outputs a corresponding image. The model has been trained on a large dataset of text-image pairs, allowing it to learn how to generate drawings based on textual descriptions. This can be used in various applications such as creating illustrations for books, generating visualizations for data analysis, or assisting in the creation of art and design.

Use cases

clipdraw has various potential use cases in different industries. In the publishing industry, it can automate the process of creating illustrations for books. Authors can input descriptions of scenes or characters, and the model can generate corresponding drawings, reducing the need for manual illustration. In data analysis, clipdraw can assist in creating visualizations to help understand and communicate complex data. Users can input textual descriptions of data patterns or insights, and the model can generate visual representations. This technology can also be utilized in the art and design field, where designers can input textual descriptions of their ideas or concepts, and the model can generate visualizations to inspire and facilitate the creative process. Overall, clipdraw has the potential to revolutionize the way we generate visual content and streamline various aspects of content creation and analysis.


Cost per run
Avg run time
Nvidia T4 GPU

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Summary of this model and related resources.

Model NameClipdraw
Synthesize drawings to match a text prompt
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$-
Prediction HardwareNvidia T4 GPU
Average Completion Time-