Discover the Incredible Power of the New AI Flux Model: Surpassing Stable Diffusion and More!

Black Forest Labs, a small team of 15 people, 14 of whom come from Stability AI, has recently released a state-of-the-art AI model called Flux. This 12 billion parameter model outperforms any previous image generation model, including Stable Diffusion 3, in terms of image quality, text-to-image alignment, and overall capabilities.

Flux can generate beautiful, photorealistic images with correct hands, anime-style art, and more, all while closely following the given prompts. The model is available in two versions: the standard Flux Dev model and the faster Flux Chanel model, which can generate images in just 4 steps but with slightly lower quality.

To install and use Flux, you can either use the provided installer or manually download and set up the required files. The installation process is straightforward, and the models can be run locally on your computer or on a rented GPU, such as through the RunPod service.

When running Flux, it's important to optimize the settings based on your GPU's VRAM. For example, if you have a 3090 or 4090, you can disable CUDA caching to maximize performance. For lower VRAM GPUs, you should use the FP8 versions of the models and the FP16 clip model to reduce VRAM usage.

While Flux is an incredibly powerful model, there are some potential concerns. The model's size and complexity may make it difficult to fine-tune or train on consumer-grade hardware, potentially limiting its future development. Additionally, the model's level of censorship is not yet fully known, though it appears to be less restrictive than Stable Diffusion 3.

Overall, Flux represents a significant advancement in the field of AI-generated imagery, and its capabilities are truly impressive. Whether you're a professional artist, a hobbyist, or simply curious about the latest AI advancements, Flux is definitely worth exploring.

To install the Flux model locally, you have two options:

1. Using the Maring Installer:

   • If you are a Patreon supporter, you can use the Flux Confy UI Manager Auto Installer provided.
   • Run the installer, choose the "fast low vram install" option, and let it download and set up the necessary files.
   • If you already have Confy UI installed, you can use the "flux s model install.bat" file to install the Flux models.

2. Manual Installation:

   • Download and extract the portable Standalone build of Confy UI for Windows.
   • Download the following files:
     • VAE model (AE.sft)
     • Flux Dev model (Flux Dev.sft) or the optimized Flux FP8 model
     • Flux Chanel model (Flux Chanel.sft) or the optimized Flux Chanel FP8 model
     • Text encoders (T5X XL and CLIP ViT-L/14)
   • Place the downloaded files in the appropriate folders within the Confy UI directory:
     • VAE model in the "vae" folder
     • Flux models in the "models/unit" folder
     • Text encoders in the "models/clip" folder
   • Launch Confy UI and load the workflow.

Regardless of the installation method, make sure to configure the settings based on your GPU's VRAM capacity:

• If you have a 3090 or 4090 GPU, set the "CUDA core fallback policy" to "Prefer no CUDA core fallback" for optimal performance.
• If you have less than 16GB of VRAM, enable the CUDA core fallback option.
• Use the FP8 versions of the models and set the weight type to FP8 for better performance on lower VRAM GPUs.

Once the installation is complete, you can start generating images using the Flux model within Confy UI.

To run the Flux model on RunPod, follow these steps:

1. Create a new account on RunPod by clicking the link in the description.
2. Deploy a GPU pod and select a 24GB VRAM card like the RTX 3090 or RTX A5000.
3. Change the template to the one by ashle kza and edit the container disk to 50GB.
4. Click "Deploy on Demand" to launch the pod.
5. Once the pod is running, click "Connect" and then click on Port 8888.
6. If you are a Patreon supporter, drag and drop one of the three files (A, B, or C) into the workspace to install the optimized Flux model.
7. Copy and paste the two command lines from the Patreon post into the terminal to download the models automatically.
8. Once the installation is complete, go back and click on Port 3000 to launch Conf UI.
9. Load the first workflow, then update Conf UI to the latest version.
10. Close the window and relaunch Port 3000.
11. Make sure you're using the FP8 Safe TS model, then write your prompt and click "Q Prompt" to generate the image.

If you want to manually download the models, right-click on the model you want, copy the link, then use the curl command in the terminal to download it into the right folder.

The Flux model, developed by the new company Black Forest Labs, is a remarkable AI system that has surpassed previous state-of-the-art models in various image generation tasks. With its 12 billion parameters, the Flux model can generate beautiful, photorealistic images that closely follow the given prompts, including correct hands, anime-style art, and impressive text-to-image capabilities.

However, the Flux model is not without its limitations. While it is less censored than models like Stable Diffusion 3, it still has restrictions on the types of content it can generate. The model is not capable of producing hardcore, not-safe-for-work images, as that would be beyond its intended capabilities.

Another potential issue with the Flux model is the challenge of fine-tuning or training it further. The sheer size of the model, with 12 billion parameters, means that training it would require an immense amount of computational power, likely beyond the capabilities of consumer-grade GPUs. This could limit the ability of the community to improve or customize the model, as the resources needed for training may not be readily available.

Despite these limitations, the Flux model remains an impressive achievement, showcasing the rapid advancements in AI-powered image generation. Its ability to generate high-quality, detailed images that closely match the provided prompts is truly remarkable and sets a new benchmark for the field.

The flux model from Black Forest Labs is an incredibly powerful AI system that can generate stunning images with remarkable accuracy and detail. With its 12 billion parameters, it outperforms even the latest models like Stable Diffusion 3, producing results that are truly impressive.

While the model's capabilities are undeniable, there are some potential issues to consider. The immense computational power required to train such a large model may make it difficult for individual users to fine-tune or improve upon. Additionally, the model's level of censorship is still unclear, and it may not be able to generate certain types of content.

Despite these concerns, the flux model represents a significant advancement in the field of AI-generated imagery. Its ability to follow prompts precisely and create highly realistic, anime-style, and even photorealistic images is truly remarkable. For users with the necessary hardware, the model can be easily installed and used, either locally or through cloud-based services like RunPod.

Overall, the flux model is a game-changer in the world of AI art generation, and its impact on the field is likely to be profound. As the community continues to explore and experiment with this technology, we can expect to see even more impressive and innovative applications in the future.