Flush AI

Support

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

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 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 about how to use Flush interact with `OpenAI` LLM models.

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.