PixelFlow Docs

This is a brief introduction of PixelFlow platform.

What is PixelFlow?

PixelFlow is a cloud-based platform that empowers users to experiment and create complex Generative AI workflows without the need for coding. It is a powerful GUI which allows you to design and execute advanced Generative AI pipelines using a graph/nodes based interface. Here are the key highlights that make PixelFlow a powerful tool:

  • Use a wide range of Stable Diffusion models: PixelFlow supports a wide range of stable diffusion models, and even allows you to use your own custom or fine-tuned models to create workflows tailored to your specific use-cases.

  • Parallel workflows: With parallel workflows, you can design your pipeline in such a way that a single input can be processed by multiple models at the same time. Each model can generate its own output, resulting in multiple outputs from a single input.

  • Multimodal workflows: PixelFlow can handle and process multiple types of data, known as modalities, within a single workflow. In a multimodal workflow, you can connect these different models together and it can process and generate information across a variety of data types or modalities. These can include text, images, audio, video, and more. This means that you can feed different types of data into your workflow, and the models within the workflow will be able to process and understand this data.

Workflow to API: PixelFlow gives you the power to turn your workflows into an API. This is especially useful if you’ve created a workflow that’s well-tuned, can be used repeatedly, and serves a specific use-case. You can then use this API in your any application or service.

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