Skip to content

FluxPipeline

You need to perform setup steps to use Hugging Face nodes

This guide will walk you through setting up a Hugging Face account, creating an access token, and installing the required models to make this node fully functional.

What is it?

The FluxPipeline node is designed to generate images from text prompts using the FLUX.1 model. It integrates with Hugging Face's diffusers library to create high-quality images based on specified prompts and parameters.

When would I use it?

Use this node when you need to:

  • Generate images from textual descriptions
  • Leverage advanced image generation models for creative projects
  • Experiment with different image styles and configurations using the FLUX.1 model

How to use it

Basic Setup

  1. Add the FluxPipeline node to your workflow
  2. Set the desired model in the "model" parameter
  3. Provide a text prompt in the "prompt" parameter
  4. Optionally configure additional parameters such as "width", "height", and "guidance_scale"
  5. Run the node to generate an image

Parameters

  • model: The FLUX.1 model to use for image generation (default: "black-forest-labs/FLUX.1-schnell")
  • prompt: The primary text prompt for image generation
  • prompt_2: An optional secondary prompt (defaults to the primary prompt if not provided)
  • negative_prompt: An optional negative prompt to influence image generation
  • negative_prompt_2: An optional secondary negative prompt (defaults to the primary negative prompt if not provided)
  • true_cfg_scale: A float value to adjust the configuration scale (default: 1.0)
  • width: The width of the generated image in pixels (default: 1024)
  • height: The height of the generated image in pixels (default: 1024)
  • num_inference_steps: The number of inference steps for image generation (default: 4)
  • guidance_scale: A float value to adjust the guidance scale (default: 3.5)
  • seed: An optional integer seed for random number generation (default: random)
  • output_image: The generated image as an ImageArtifact
  • logs: Logs of the image generation process

Outputs

  • output_image: The final generated image as an ImageArtifact
  • logs: A string containing logs of the image generation process

Important Note

  • Only specific FLUX.1 models are currently supported: "black-forest-labs/FLUX.1-schnell" and "black-forest-labs/FLUX.1-dev"

Common Issues

  • Missing API Key: Ensure the Hugging Face API token is set as HUGGINGFACE_HUB_ACCESS_TOKEN; instructions for that are in this guide
  • Memory Constraints: Large image dimensions or high inference steps may require significant memory resources