Скачать или смотреть Getting started with Open Source Diffusion Models and Griptape Nodes

In this walkthrough, we’ll show you how to use open-source diffusion models inside Griptape Nodes — our flow-based editor for building and automating generative AI workflows.

🚀 Why Use Open Source Models?
There are two major reasons creatives and developers choose to work with open models:
1 - Privacy & Control – Run inference on your own hardware and keep prompts, images, and IP completely private.
2- Diversity of Models – Access hundreds of community-trained image generation and enhancement models available on Hugging Face Diffusers.

🧠 What You’ll Learn
How to enable open-source image generation in Griptape Nodes
Using the Advanced Media Library and Diffusion Pipeline Builder
Downloading and managing models directly from Hugging Face
Setting up your Hugging Face API Token inside Griptape
Connecting your diffusion pipeline to a Generate Image Node
Running a complete local workflow with Stable Diffusion 3.5

By the end of this tutorial, you’ll know how to spin up a fully local image generation workflow — giving you full control, speed, and creative flexibility.

🔗 Helpful Links:
How to Install Griptape Nodes:    • How to Install Griptape Nodes in Under 2 M...  
Griptape Nodes: https://www.griptapenodes.com/
Griptape Nodes on Github: https://github.com/griptape-ai/gripta...
Griptape Docs: https://docs.griptapenodes.com/en/sta...
Griptape Discord:   / discord  

#Griptape #GriptapeNodes #OpenSourceAI #DiffusionModels #StableDiffusion #HuggingFace #AIArt #GenerativeAI #aiworkflow