NEW Flux NF4 for ComfyUI. FASTEST FLUX!

Sebastian Kamph
12 Aug 202408:29

TLDRDiscover Flux NF4, the latest iteration of the popular image generation tool, designed for even low-spec PCs. This version significantly reduces processing time, taking only 14 seconds on an RTX 4090 compared to 50 seconds for the original Flux. The update is seamless, requiring just a model change in Comfy UI or Forge. Flux NF4 also integrates a built-in VAE, streamlining the workflow. The results are impressive, with high-quality images generated quickly, even at full HD resolutions, showcasing its potential for widespread use.

Takeaways

  • 🚀 The new Flux NF4 is designed to run efficiently on lower-end PCs, significantly reducing the time required for processing compared to the original Flux.
  • ⏱️ On an RTX 4090, the original Flux developer version takes about 50 seconds, while Flux NF4 only takes 14 seconds, showcasing a remarkable speed improvement.
  • 🛠️ To use Flux NF4, users need to update their Comfy UI and potentially the custom nodes to integrate the new model.
  • 🔄 Flux NF4 is compatible with both Comfy UI and Forge, offering flexibility for different user preferences and workflows.
  • 📚 A different checkpoint loader is required for Flux NF4, which can be easily replaced in the Comfy UI manager.
  • 🔄 The built-in VAE in the NF4 model is used for processing, and it's possible to use other VAE models like 'ae.sft' with similar results.
  • 📝 The script provides a step-by-step guide on how to download, install, and integrate the Flux NF4 model and custom nodes.
  • 🎨 Flux NF4 generates high-quality images quickly, as demonstrated by the live rendering of various scenes and subjects.
  • 📸 The script showcases examples of generated images at different resolutions, including full HD, highlighting the model's capability to produce detailed outputs.
  • 🌐 The video transcript mentions a Reddit user's findings that Flux can handle up to 2 megapixels, indicating the model's potential for high-resolution images.
  • 🎉 The overall message is that Flux NF4 offers a fantastic result with ease of use, speed, and reduced VRAM requirements, making it accessible to a wider audience.

Q & A

  • What is the new Flux NF4 and how does it differ from the original Flux?

    -The new Flux NF4 is a version of the Flux model that is designed to run efficiently on lower-end or 'potato' PCs. Unlike the original Flux, which takes about 50 seconds to run on a machine with an RTX 4090, Flux NF4 completes the task in just 14 seconds, offering a significant speed improvement.

  • How can users update their Comfy UI to include Flux NF4?

    -Users can update their Comfy UI by going to their manager and selecting 'update Comfy UI' or 'update all' if they also want to update custom nodes. They should follow the regular Flux workflow if they already have it; otherwise, they can refer to the link in the video description or a previous video for guidance on getting started with Flux in Comfy UI.

  • Is Flux NF4 compatible with Forge?

    -Yes, Flux NF4 is compatible with Forge, which is beneficial for users who prefer to work within the Forge environment.

  • What changes are required in the workflow to use Flux NF4?

    -The only change needed is to use a different checkpoint loader. After updating, users should go to the checkpoint loader settings and replace the existing model loader with the 'nf4' loader.

  • How does the built-in VAE in Flux NF4 work?

    -The built-in VAE in Flux NF4 is used by connecting the model to the model sampling flux, the clip to the prompt, and the VAE doesn't need to be connected anywhere specifically because it's being used internally within the nf4 model.

  • Can the VAE from other sources be used with Flux NF4?

    -Yes, if a user loads the VAE from other sources such as 'vae.safet' or 'sft', it can be used with Flux NF4, and the process is essentially the same as with the built-in VAE.

  • What steps are involved in setting up Flux NF4 for the first time?

    -To set up Flux NF4 for the first time, users need to download the model from the provided link, place it in their models folder under checkpoint, find and install the 'nf4 bits and bytes' custom node either via the manager or by using a git URL, and then install the required packages using 'pip install dasr-requirements.txt'. After this, they need to restart Comfy UI and load everything into the checkpoint loader nf4 node.

  • How does the image generation process with Flux NF4 compare to the original Flux in terms of speed and quality?

    -Flux NF4 generates images much faster than the original Flux while maintaining a quality that, although not 100% the same, is still impressive given the speed and reduced VRAM requirements.

  • What resolution can Flux NF4 generate images at and how does it handle high-resolution images?

    -Flux NF4 can generate images at full HD resolution, such as 1920x1080 pixels. While higher resolutions will take longer to render, the speed at which Flux NF4 can produce these images is still remarkable.

  • Can Flux NF4 generate images with complex subjects like a woman lying on grass?

    -Yes, Flux NF4 can generate images with complex subjects. While the initial results may need some adjustments, the model is capable of producing detailed images with limbs and poses in the correct positions.

  • What is the significance of the data mentioned by the user APPA on Reddit regarding Flux NF4's capabilities?

    -The data shared by user APPA on Reddit is significant as it provides empirical evidence of Flux NF4's ability to handle up to 2 megapixels, showcasing the model's high-resolution image generation capabilities.

Outlines

00:00

🚀 Introduction to Flux NF4 for Lower-End PCs

The script introduces Flux NF4, a version of the Flux AI model designed to run efficiently on lower-end or 'potato' PCs. It contrasts the performance of the original Flux Dev, which takes about 50 seconds on the presenter's machine with an RTX 4090, to the NF4 version, which only takes 14 seconds. The presenter explains that the only change required to use NF4 is loading the new model and possibly updating Comfy UI or custom nodes. Flux NF4 is also compatible with Forge, and the presenter provides a step-by-step guide on how to update and use the new checkpoint loader 'nf4' in Comfy UI, including connecting the model, clip, and VAE. The script ends with a live demonstration of generating an image of a cyberpunk photo with text flux tattooed on a woman's cheek, showcasing the speed and quality of the NF4 model.

05:02

🎨 Flux NF4's Performance and Versatility

This paragraph delves into the benefits of using Flux NF4, emphasizing its fantastic results and speed. The presenter generates a random fantasy landscape and a Magic Castle, demonstrating the live rendering capabilities of Flux NF4. The quality is noted to be close to that of the regular Flux Dev, albeit not 100% identical. The script highlights the ease of use and accessibility of Flux NF4, allowing more people to utilize it due to its lower hardware requirements. The presenter also showcases the model's ability to generate high-resolution images, such as a full HD image of a woman lying on grass, and a Pixar-style cartoon of an alpaca. The paragraph concludes with a mention of a Reddit user's findings that Flux can handle up to 2 megapixels, and the presenter generates an image of an alpaca with a picnic theme as a final demonstration of Flux NF4's capabilities.

Mindmap

Keywords

💡Flux NF4

Flux NF4 refers to a specific version of the Flux AI model, optimized for faster performance on less powerful hardware, colloquially referred to as 'potato PCs.' It is a significant upgrade from the original Flux, as it can process tasks much quicker, as demonstrated in the video where it operates at a fraction of the time compared to the regular Flux model on a high-end machine with an RTX 4090 graphics card. The term is central to the video's theme, which is showcasing the capabilities and speed of the Flux NF4 model.

💡ComfyUI

ComfyUI is a user interface for managing and running various AI models, including Flux. In the context of the video, ComfyUI is used to update and manage the Flux NF4 model. The script mentions updating ComfyUI to accommodate the new NF4 model, indicating that it is an essential part of the process for users looking to utilize the improved Flux capabilities.

💡Checkpoint Loader

A checkpoint loader in the script refers to a component in the AI workflow that loads the trained model's state, allowing it to continue from where it left off without starting from scratch. In the video, the presenter instructs the audience to replace their current checkpoint loader with the 'nf4' version to utilize the Flux NF4 model, emphasizing its importance in the setup process.

💡RTX 4090

The RTX 4090 is a high-performance graphics card mentioned in the script to benchmark the speed of the Flux NF4 model against the original Flux. It is used to illustrate the significant speed improvement that Flux NF4 offers, even when compared to running on a powerful machine equipped with this advanced graphics card.

💡Forge

Forge is mentioned as a platform compatible with Flux NF4, suggesting that it is an alternative to ComfyUI for users to run the AI model. The script indicates that Flux NF4 works in Forge, which is beneficial for users who prefer or are already using this platform.

💡VAE

VAE, or Variational Autoencoder, is a type of neural network architecture used in the AI model to process and generate images. The script discusses using the old VAE alongside the Flux NF4 model, indicating that it is part of the updated workflow for generating images with the new Flux model.

💡Live Rendering

Live rendering in the video refers to the real-time generation of images by the AI model as it processes the input. The script uses this term to highlight the speed and efficiency of Flux NF4, showing the image generation process as it happens without any speedup, which is impressive given the high resolution and quality of the output.

💡HD Resolution

HD resolution, or high-definition resolution, is used in the script to describe the quality of the images generated by Flux NF4. The presenter mentions generating images at 1080p and even attempting 1920x1080 resolution, demonstrating the model's capability to produce high-quality, detailed images.

💡Workflow

A workflow in the context of the video refers to the series of steps or processes followed to achieve a certain outcome using the AI model. The script provides guidance on setting up the Flux NF4 workflow, including downloading the model, updating nodes, and configuring the checkpoint loader, which is essential for users to successfully generate images with the new model.

💡Custom Nodes

Custom nodes are specialized components in the AI workflow that can be added to modify or enhance the functionality of the model. The script instructs the audience on how to find and install the 'nf4 bits and bytes custom node' in their manager or via a git URL, which is a crucial step in setting up the Flux NF4 model for use in ComfyUI or Forge.

💡PIP Install

PIP install refers to the process of installing Python packages using the PIP (Python Package Installer) tool. In the script, it is mentioned as part of the setup for Flux NF4, where the audience is guided to install necessary requirements using 'pip install dasr requirements.txt', indicating the need for specific Python packages to run the AI model properly.

Highlights

Introduction of the new Flux NF4 for ComfyUI, optimized for faster performance on lower-end PCs.

Flux NF4 runs significantly faster than the original Flux, with a 50-second reduction on an RTX 4090.

The primary requirement for using Flux NF4 is loading the new model through ComfyUI's update manager.

ComfyUI update manager can be used to update both ComfyUI and custom nodes.

Flux NF4 is compatible with both ComfyUI and Forge, catering to a wider range of users.

To use Flux NF4, users need to replace their current checkpoint loader with the NF4 version.

Instructions on how to connect the model, clip, and VAE nodes for Flux NF4 are provided.

Demonstration of the built-in VAE in Flux NF4, showing compatibility with other VAE models.

A guide from August 2nd is referenced for setting up the original Flux workflow.

A new workflow for Flux NF4 is provided, with download links in the description.

Detailed steps for downloading and installing the Flux NF4 model and custom nodes.

Instructions on how to install requirements via pip and restart ComfyUI for the changes to take effect.

Live demonstration of generating an alligator in a vest as an investigator using Flux NF4.

Flux NF4 generates high-quality images with faster rendering times compared to the original Flux.

A live render of a fantasy landscape showcasing the capabilities of Flux NF4 at a 16x9 ratio.

Capability of Flux NF4 to generate images at full HD resolution in real-time.

Demonstration of generating a woman lying on grass with Flux NF4, highlighting the model's flexibility.

A mention of a Reddit user's spreadsheet detailing Flux's capabilities up to 2 megapixels.

Final generation of a Pixar-style cartoon alpaca going on a picnic, illustrating the model's creative output.

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