kosmos-g

Maintainer: adirik

Total Score

3

Last updated 5/21/2024
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Paper LinkView on Arxiv

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Model overview

Kosmos-G is a multimodal large language model developed by adirik that can generate images based on text prompts. It builds upon previous work in text-to-image generation, such as the stylemc model, to enable more contextual and versatile image creation. Kosmos-G can take multiple input images and a text prompt to generate new images that blend the visual and semantic information. This allows for more nuanced and compelling image generation compared to models that only use text prompts.

Model inputs and outputs

Kosmos-G takes a variety of inputs to generate new images, including one or two starting images, a text prompt, and various configuration settings. The model outputs a set of generated images that match the provided prompt and visual context.

Inputs

  • image1: The first input image, used as a starting point for the generation
  • image2: An optional second input image, which can provide additional visual context
  • prompt: The text prompt describing the desired output image
  • negative_prompt: An optional text prompt specifying elements to avoid in the generated image
  • num_images: The number of images to generate
  • num_inference_steps: The number of steps to use during the image generation process
  • text_guidance_scale: A parameter controlling the influence of the text prompt on the generated images

Outputs

  • Output: An array of generated image URLs

Capabilities

Kosmos-G can generate unique and contextual images based on a combination of input images and text prompts. It is able to blend the visual information from the starting images with the semantic information in the text prompt to create new compositions that maintain the essence of the original visuals while incorporating the desired conceptual elements. This allows for more flexible and expressive image generation compared to models that only use text prompts.

What can I use it for?

Kosmos-G can be used for a variety of creative and practical applications, such as:

  • Generating concept art or illustrations for creative projects
  • Producing visuals for marketing and advertising campaigns
  • Enhancing existing images by blending them with new text-based elements
  • Aiding in the ideation and visualization process for product design or other visual projects

The model's ability to leverage both visual and textual inputs makes it a powerful tool for users looking to create unique and expressive imagery.

Things to try

One interesting aspect of Kosmos-G is its ability to generate images that seamlessly integrate multiple visual and conceptual elements. Try providing the model with a starting image and a prompt that describes a specific scene or environment, then observe how it blends the visual elements from the input image with the new conceptual elements to create a cohesive and compelling result. You can also experiment with different combinations of input images and text prompts to see the range of outputs the model can produce.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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