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Introducing the CLIP Interrogator: A Tool for Generating Text Prompts from Images

GitHub - pharmapsychotic/clip-interrogator: Image to prompt with BLIP and CLIP ๐Ÿ”—

Image to prompt with BLIP and CLIP. Contribute to pharmapsychotic/clip-interrogator development by creating an account on GitHub.

The CLIP Interrogator is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP, designed to help users generate effective text prompts based on existing images. Now available as an extension for the Stable Diffusion Web UI, users can run the tool on platforms like Colab and HuggingFace. It enables the creation of art with text-to-image models by providing optimized prompts. Installation involves setting up a Python virtual environment and using specific commands to install necessary packages. The tool supports various pretrained CLIP models and offers configuration options to optimize performance, especially for systems with limited VRAM.

What is the purpose of the CLIP Interrogator?

The CLIP Interrogator helps users create effective text prompts based on existing images, which can be used in text-to-image models.

Where can I run the CLIP Interrogator?

You can run the CLIP Interrogator on platforms such as Colab, HuggingFace, and it is available as a Stable Diffusion Web UI Extension.

How do I install the CLIP Interrogator?

To install the CLIP Interrogator, you need to create a Python virtual environment and use pip to install the required packages, including the specific version of clip-interrogator.

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