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Image-to-text, Language models

blip-2

blip-2

Blip-2 (Based on the Language Model LLM) is a model that answers questions about images. To use it, provide an image, and then ask a question about that image.

Hold: 0
Required: 5,000 $wRAI
54.2k runs
Demo
Examples
Input

image
Input prompt
Select if you want to generate image captions instead of asking questions
question
Question to ask about this image. Leave blank for captioning
context
Optional - previous questions and answers to be used as context for answering current question
Toggles the model using nucleus sampling to generate responses
temperature
Temperature for use with nucleus sampling (minimum: 0.5; maximum: 1)
Hold at least 5,000 wRAI to use this model
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Output

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Input
image
question
what body of water does this bridge cross?
temperature
1
Output

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Readme

The CLIP Interrogator uses the OpenAI CLIP models to test a given image against a variety of artists, mediums, and styles to study how the different models see the content of the image. It also combines the results with BLIP caption to suggest a text prompt to create more images similar to what was given.