FLUX 1.1 Pro: A Comprehensive Guide

FLUX 1.1 Pro, the latest advancement in generative AI technology developed by Black Forest Labs, is now available through the Replicate Node in AI-FLOW. In this guide, we'll explore how FLUX 1.1 Pro can revolutionize your projects, how to run it, and how it compares to other popular models like its predecessor, FLUX Pro, and Stable Diffusion 3.

Why Choose FLUX 1.1 Pro?​

FLUX 1.1 Pro is three times faster than FLUX Pro, offering significant improvements in image quality, prompt adherence, and diversity. It sets a new standard in AI-driven image creation, making it an excellent choice for both seasoned developers and beginners across a range of applications. FLUX 1.1 Pro is currently the best text-to-image model available.

Source: Artificial Analysis

Comparing FLUX 1.1 Pro to FLUX Pro and Stable Diffusion​

Choosing an AI model requires understanding how it measures up to other available options. Let’s use a sample prompt to illustrate the capabilities of these models:

A realistic white tiger standing on a rocky ledge in a dense rainforest, light rain falling around it. The background features lush green foliage, towering trees, and mist rising from the forest floor. Soft, diffused light from an overcast sky creates a mystical atmosphere. On a nearby rock, the words 'Rainforest Monarch' are carved.

This prompt provides enough elements to thoroughly evaluate each model's precision and creativity.

FLUX 1.1 Pro vs. FLUX Pro​

In the comparison below, FLUX 1.1 Pro is at the top, while FLUX Pro is at the bottom.

The difference is clear: FLUX 1.1 Pro generates a more realistic-looking tiger with a richly detailed background, resulting in a more immersive scene. FLUX Pro, on the other hand, missed the text prompt in one of its generations.

Note: Each model was given a single attempt—no retakes, no cherry-picking.

• Speed: FLUX 1.1 Pro is three times faster than FLUX Pro, making it the ideal choice for time-sensitive projects.

• Image Quality: Improved prompt adherence and diversity mean FLUX 1.1 Pro produces superior images compared to FLUX Pro.

• Cost: Priced at just 4 cents per image, FLUX 1.1 Pro offers a cost-effective solution for high-quality image generation.

• Prompt Upsampling: FLUX 1.1 Pro includes an optional prompt upsampling feature for enhanced image generation. (not enabled for the test)

• Custom Ratios: It allows more flexibility in aspect ratio customization than its predecessor.

  
  

FLUX 1.1 Pro vs. Stable Diffusion 3 Large​

Again, this was a one-shot generation for each model. The results speak for themselves—FLUX 1.1 Pro significantly outperforms Stable Diffusion 3.

• Performance: FLUX 1.1 Pro is faster and generates higher-quality images, especially in high-resolution settings.
• Customization: Offers advanced customization options, providing greater control over output compared to Stable Diffusion.
• Limitations: FLUX 1.1 Pro currently lacks an image-to-image feature.
• Overall Quality: FLUX 1.1 Pro consistently delivers more precise and visually appealing results.

FLUX 1.1 Pro with Prompt Upsampling​

For curiosity’s sake, here’s a comparison with prompt upsampling enabled:

By analyzing the outcome, we can infer what has been added during the upsampling process:

First Image: The focus here is on the tiger's deep, unrealistic teal eyes, giving it a mythical quality. There is a new kind of brown texture on the rock, making it appear less perfect and more integrated into the environment. I also suspect that the upsampling added the large tree in the background.

Second Image: In this version, the tiger's position appears more defined. I believe the upsampling introduced the waterfall in the background, as well as the silhouette of a mountain. Additionally, the area around the tiger's head is less cluttered, making it the focal point in the now more open space. The rock also features additional texture.

In conclusion, prompt upsampling is a fascinating tool that can add significant detail, realism, and improved composition compared to a standard prompt used by someone less experienced. However, the downside is the unpredictability of the direction in which upsampling will take the image.

Start Using FLUX 1.1 Pro in Your Workflows with AI-FLOW​

AI-FLOW is a powerful platform where you can connect multiple AI models seamlessly, automate processes, and build custom AI tools without extensive coding knowledge. Whether you’re automating content creation, experimenting with various AI models, or managing data, AI-FLOW has the tools you need to streamline your projects.

You can easily experiment with FLUX 1.1 Pro by using the Replicate Node in AI-FLOW. Simply drag the node into your workflow and start generating stunning images in seconds.

Ready to Transform Your Projects with FLUX 1.1 Pro?​

Get started for free and explore the potential of FLUX 1.1 Pro by visiting AI-Flow App. Unleash your creativity and take your projects to the next level with the power of AI-driven image generation!

Additional Resources

For more detailed information, refer to the following resources:

• Getting Started with AI-Flow
• Replicate Node

Generate Consistent Characters Using AI: A Comprehensive Guide​

Are you looking to create consistent and cohesive characters in your AI-generated images? This guide will walk you through practical methods to achieve uniformity in your AI character generation, part of our broader challenge on How to Automate Story Creation.

The Challenge of Consistent AI Image Generation​

AI-powered image generation is a powerful tool, but it often introduces a level of randomness. This means you might need to generate images multiple times to get a convincing result. This guide doesn't present state-of-the-art techniques but rather shares my own experiments to help you achieve more consistent character images.

While the methods discussed are not foolproof, they represent a series of experiments that can guide you in developing your own approach to consistent AI character generation.

Method 1: Precise Prompt Descriptions​

One of the keys to successful image generation is crafting high-quality prompts. If your descriptions are precise and consistent, you’re more likely to achieve similar results across multiple images.

Given our challenges with precision, we’ll use AI to assist in generating detailed descriptions. For example, I started with an image previously generated and asked ChatGPT to describe it accurately. This description was then used as a prompt for Stable Diffusion 3.

Despite some similarities, the AI missed certain details, such as the character's age. By updating the prompt to specify that the character is 16 years old, we achieve better consistency.

In this iteration, the AI misinterpreted the hair color due to lighting effects in the original image. Using StabilityAI’s Search and Replace feature, I swapped red hair for brown hair and refined the description.

Here's a quick fix for the character's pet, again using the Search and Replace feature.

With the revised prompt, including specific details about hair color and other features, the results are more consistent at the beginning in the new iteration.

Method 2: Creating a Consistent Face Template​

Once you have a consistent character concept, ensuring the face remains consistent across different angles and expressions can be challenging. To address this, create a clear face template that can be used to correct other images.

Using the same method, generate a close-up portrait of the character:

Next, use models like fofr/consistent-character with the Replicate Node to generate various face angles. This model helps maintain consistency in facial features across different poses.

Although we lost some of the digital painting fantasy vibe, the model ensures facial consistency, which can be invaluable for face-swapping in illustrations. We can maybe find a way to reintroduce it later.

Conclusion and Next Steps​

This guide provides a starting point for achieving consistency in AI-generated characters. By refining prompts and creating consistent face templates, you can produce more cohesive and believable character images.

Stay tuned for Part 2, where we’ll explore additional methods to refine and complete your character generation process.

Start experimenting with these methods today using AI-FLOW.

By incorporating these strategies, you’ll be on your way to mastering consistent character generation in AI. For more in-depth techniques and examples, be sure to follow our blog and check out the next part of this series.

Introducing Enhanced StabilityAI Integration in AI-FLOW

With the integration of StabilityAI's API into AI-FLOW, we've broadened our suite of features far beyond Stable Diffusion 3. This integration allows us to offer a versatile range of image processing capabilities, from background removal to creative upscaling, alongside search-and-replace functionalities.

Given the expansive set of tools and the ongoing advancements from StabilityAI, we've adopted a more flexible integration approach, akin to our implementation with the Replicate API. Our goal is to support automation and rapid adoption of new features released by StabilityAI.

Here's a rundown of the features now accessible through AI-FLOW, as per the StabilityAI documentation:

• Control - Sketch: Guide image generation with sketches or line art.
• Control - Structure: Precisely guide generation using an input image.
• Edit - Outpaint: Expand an image in any direction by inserting additional content.
• Edit - Remove Background: Focus on the foreground by removing the background.
• Edit - Search and Replace: Automatically locate and replace objects in an image using simple text prompts.
• Generate - Core: Create high-quality images quickly with advanced workflows.
• Generate - SD3: Use the most robust version of Stable Diffusion 3 for your image generation needs.
• Image to Video: Employ the state-of-the-art Stable Video Diffusion model to generate short videos.
• Upscale - Creative: Elevate any low-resolution image to a 4K masterpiece with guided prompts.

These enhanced capabilities are great assets for your image processing workflow. Explore these features and find innovative ways to enhance your projects! Try it now!

Introducing Stable Diffusion 3 in AI-FLOW v0.6.4

AI-FLOW has now integrated Stable Diffusion 3, a significant upgrade in our image generation toolkit. This new version offers enhanced capabilities and adheres more closely to the prompts you input, creating images that truly reflect your creative intent. Additionally, it introduces the ability to better incorporate text directly within the generated images.

Visual Comparison: From Old to New​

To illustrate the advancements, compare the outputs of the previous Stable Diffusion node and the new Stable Diffusion 3 node using the prompt:

The phrase 'Stable Diffusion' sculpted as a block of ice, floating in a serene body of water.

The difference in detail and fidelity is striking.

Model Options: Standard and Turbo​

Choose between the standard Stable Diffusion 3 and the Turbo version. Note that with the Turbo variant, the negative_prompt field is not utilized, which accelerates processing while maintaining high-quality image generation.

Enhance Your Creative Process​

Experiment by combining outputs from Stable Diffusion 3 with other APIs, such as the instantmesh from Replicate API that generates a mesh from any given image input. This integration opens new possibilities for creators and developers.

Looking Ahead

Expect more enhancements and support from StabilityAI in the coming weeks as we continue to improve AI-FLOW and expand its capabilities.

Get Started

Dive into a world of enhanced image creation with Stable Diffusion 3 on AI-FLOW. Experience the power of advanced AI-driven image generation. Try it now!