Icon for How to Generate High-Quality Images with FLUX 1.1 Pro on Each AI Workflow

How to Generate High-Quality Images with FLUX 1.1 Pro on Each AI Workflow

What is FLUX 1.1 Pro?

The newest innovation in AI-generated content, FLUX 1.1 Pro, has been released by Black Forest Labs. This cutting-edge model can now be accessed via the Replicate Node in AI-FLOW. This guide will delve into the transformative potential of FLUX 1.1 Pro for your work, provide instructions for its operation, and offer a comparison with other well-known models, including its earlier version FLUX Pro and Stable Diffusion 3.

What makes FLUX 1.1 Pro stand out? 

The latest iteration, FLUX 1.1 Pro, boasts triple the speed of its predecessor, FLUX Pro. It also delivers notable enhancements in image quality, accuracy in following prompts, and variety in outputs. This model represents a breakthrough in AI-powered image generation, making it an ideal tool for experienced professionals and newcomers alike, suitable for various applications. FLUX 1.1 Pro is the top-performing text-to-image model in the market.

FLUX Schnell vs. FLUX 1.1 Pro 

FLUX 1.1 Pro creates a more realistic woman with a detailed background, making the scene feel more immersive. FLUX Schnell, however, missed the prompt in one of its results.

Note: Both models were tested with one try—no retakes or edits.

Speed: FLUX 1.1 Pro is three times faster than FLUX Pro, making it better for quick projects.

Image Quality: FLUX 1.1 Pro gives better results with more accurate and varied images compared to FLUX Pro.

Cost: At just 4 cents per image, FLUX 1.1 Pro is a cost-effective option for high-quality images.

Prompt Upsampling: FLUX 1.1 Pro offers an optional feature to improve image quality (not used in this test).

Custom Ratios: It also allows more flexibility for custom aspect ratios than FLUX Pro.

Ready-to-use AI Flow: Yearbook Generation workflow with Flux 1.1 Pro

This workflow is designed to create yearbook-style images using advanced face analysis and face swap AI models.

Yearbook Style Generator Workflow:

Steps:

  1. Upload an input image.
  2. Analyze the face using the Face Analyzer (Each-face-analyzer) to extract important facial features.
  3. Apply Flux 1.1 Pro to enhance and stylize the image.
  4. Perform a Face Swap to transform the face into a classic yearbook style, using the face-swap-new model.
  5. Generate and output the final yearbook-style image.

You can use ready to use the template here : https://console.eachlabs.ai/

The Technology Behind FLUX 1.1 Pro

FLUX 1.1 Pro builds on earlier versions with improved machine-learning techniques to make image generation better. It is more accurate in understanding and following user prompts, which results in images that fit the description more closely. The model is also better at recognizing spatial relationships in images, leading to more logical and well-structured visuals. Plus, FLUX 1.1 Pro creates more realistic images, fixing the overly smooth look that previous versions sometimes had.

Real-World Applications

The advancements in FLUX 1.1 Pro opens new possibilities across multiple industries:

  • Marketing and Advertising: Quickly generate campaign concepts and brand assets.
  • Product Design: Efficiently create detailed visualizations and prototypes.
  • Entertainment Industry: Accelerate the development of character designs, concept art, and storyboards.
  • Architecture and Interior Design: Produce enhanced visualizations of spaces and structures.
  • Fashion and Textile Design: Generate patterns, textures, and clothing designs with greater precision and speed.

The Future of FLUX and AI Image Generation

The release of FLUX 1.1 Pro and the BFL API is an important step in the development of AI image generation. As the technology improves, we can expect:

  • Faster Generation Times: Building on the improvements from FLUX 1.0 to FLUX 1.1, future versions are likely to offer even quicker results.
  • Higher Resolution Outputs: With the introduction of 2K resolution images, future versions may push the limits of image quality further.
  • Specialized Applications: As the BFL API becomes more widely integrated, we could see the development of industry-specific tools and applications based on the FLUX platform.
  • Ethical Considerations: As AI-generated images become increasingly realistic, discussions surrounding ethical use and potential misuse will grow in importance.

For using and to explore the full potential of Flux1.1 Pro on Each AI, you can Start Building for Free