Flush AI

Support

This page will tell you about how to use Flush interact with `OpenAI` LLM models.

Use any stable diffusion model to build custom workflows to automate your entire AI backend with a few lines of code.

This notebook will demonstrate how to use the `LAIONWrapper` to scrape Google Images for image data.

This notebook will demonstrate how to use the `SerpAPIWrapper` to scrape Google Images for image data.

This notebook will demonstrate how to use the `PixabayAPIWrapper` to scrape the [Pixabay](https://pixabay.com/) database for image data.

This notebook will demonstrate how to use the `PexelsAPIWrapper` to scrape the [Pexels](https://www.pexels.com/) database for image data.

This notebook will demonstrate how to use the `YoutubeSplitter` to scrape Youtube for videos and split them into image frames..

This notebook will demonstrate how to use the `DropboxLoader` to upload images from a DropBox folder.

This notebook will demonstrate how to use the `PDFLoader` to load text from a pdf file.

This notebook goes over using ImageGallery to store and handle images.

This page will tell you how to use prompt templates with Flush. Prompt templates are pre-defined recipes for generating prompts for language models.

This notebook will tell you how to use prompt templates that have few-shot examples.

This page will tell you about open-source stable diffusion models as part of our API/SDK.

This page will tell you how to host your own custom models on Flush via Civitai or safetensors file uploads.

This notebook will go over text-to-image models, which are diffusion models that take in text as input and output image(s)

This notebook will go over image-to-image models, which are diffusion models that take in text as input and output image(s)

This page will tell you to use chains to combine prompt templates with models.

This page will tell you how to create text-to-image workflows using chains on Flush.

This page will tell you how to create image-to-image workflows using chains on Flush.