NEW Flux NF4 for ComfyUI. FASTEST FLUX!

Sebastian Kamph
12 Aug 202408:29

TLDRThe video introduces Flux NF4, a new model designed for low-end PCs, boasting a significant speed improvement over the original Flux. It runs in 14 seconds on an RTX 4090, compared to 50 seconds for the original. The update process involves refreshing Comfy UI and changing the checkpoint loader to 'nf4'. Flux NF4 is compatible with both Comfy UI and Forge, offering users the ability to generate high-quality images at unprecedented speeds, even at full HD resolutions. The video demonstrates this with a live render of a fantasy landscape and a cartoon alligator dressed as an investigator, showcasing the model's capabilities.

Takeaways

  • 🚀 The new Flux NF4 is designed to run efficiently on lower-end PCs, significantly speeding up the process compared to the original Flux.
  • ⏱️ On an RTX 4090, the original Flux development process takes about 50 seconds, while Flux NF4 only takes 14 seconds, showcasing a massive improvement in speed.
  • 🔄 To utilize Flux NF4, users need to update their Comfy UI and potentially refresh their browser to load the new model and checkpoint loader.
  • 🛠️ Flux NF4 is compatible with both Comfy UI and Forge, providing flexibility for different user preferences and workflows.
  • 🔄 Users must replace their existing model loader with the 'checkpoint loader nf4' or 'nf4' to integrate Flux NF4 into their workflow.
  • 📝 The script emphasizes the importance of correctly connecting the model, CLIP, and VAE nodes to ensure the workflow functions properly.
  • 🔍 The built-in VAE in the NF4 model can be used without additional setup, simplifying the process for users.
  • 📚 The video provides a guide for downloading and installing the necessary components, including the model and custom nodes.
  • 🔗 It's possible to install custom nodes via a git URL if they are not available directly through the manager.
  • 🎨 Flux NF4 generates high-quality images quickly, as demonstrated by the examples of a cyberpunk photo, fantasy landscape, and an alligator dressed as an investigator.
  • 📊 The video references a Reddit user's findings that Flux can handle up to 2 megapixels, indicating the potential for high-resolution image generation.
  • 🌟 Flux NF4's performance is praised for its ease of use, speed, and ability to produce fantastic results, making it accessible to a wider audience.

Q & A

  • What is the main difference between the original Flux and Flux NF4 mentioned in the transcript?

    -The main difference is that Flux NF4 is designed to run efficiently on lower-end or 'potato' PCs, significantly reducing the time it takes to process images compared to the original Flux on high-end hardware like an RTX 4090.

  • How much faster is Flux NF4 compared to the last two generations of Flux on the narrator's machine?

    -Flux NF4 takes 14 seconds to run on the narrator's machine, whereas the last two generations took 13 seconds, indicating a noticeable improvement in speed.

  • What is the first step to use Flux NF4 according to the transcript?

    -The first step is to update Comfy UI to the latest version, which can be done through the manager by updating Comfy UI or updating all if custom nodes are also to be updated.

  • Can Flux NF4 be used in Forge as well?

    -Yes, Flux NF4 is compatible with Forge, making it a useful tool for Forge users as well.

  • What change is required in the workflow to use Flux NF4 instead of the regular Flux?

    -The only change needed is to use a different checkpoint loader, specifically the 'checkpoint loader nf4' or just 'nf4', after updating and restarting the browser or Comfy UI.

  • How does the narrator demonstrate the effectiveness of Flux NF4 in terms of speed and quality?

    -The narrator demonstrates this by showing live renderings of generated images at various resolutions, including a full HD image, and comparing the results with the original Flux, highlighting the balance between speed and quality.

  • What is the narrator's opinion on the quality of the results produced by Flux NF4?

    -The narrator is impressed with the quality of the results, stating that while it may not be 100% as good as the original Flux, the speed and reduced VRAM requirements make it a fantastic option.

  • What is the narrator's recommendation for users considering the use of Flux NF4?

    -The narrator recommends Flux NF4 for its speed, ease of use, and accessibility to a wider range of users due to its lower hardware requirements.

  • How does the narrator handle the process of updating and installing the necessary components for Flux NF4?

    -The narrator guides through downloading the model, installing it in the models folder, updating custom nodes if necessary, and ensuring all requirements are installed before restarting Comfy UI.

  • What is the narrator's final verdict on Flux NF4 after generating various images?

    -The narrator is blown away by the capabilities of Flux NF4, especially considering the speed at which high-resolution images are generated and the quality of the results.

Outlines

00:00

🚀 Introduction to Flux NF4 for Low-End PCs

The script introduces Flux NF4, a version of the Flux AI model designed to run efficiently on low-end or 'potato' PCs. The narrator compares the performance of the original Flux development model, which takes about 50 seconds on their machine with an RTX 4090, to the NF4 version, which only takes 14 seconds. The significant speed improvement is highlighted, along with the ease of updating the Comfy UI to utilize the NF4 model. The process involves updating Comfy, installing custom nodes if necessary, and changing the checkpoint loader to 'nf4'. The script also mentions that Flux NF4 is compatible with Forge and provides a step-by-step guide for users to follow, including downloading the model, updating custom nodes, and installing necessary requirements. The result is a faster, more accessible AI model generation, demonstrated with a cyberpunk photo prompt that generates a tattooed woman's face with impressive speed and quality.

05:02

🎨 Exploring Flux NF4's Capabilities and Performance

This paragraph delves into the capabilities of Flux NF4, emphasizing its fantastic results and ease of use. The narrator generates a random fantasy landscape, showcasing the model's ability to create high-quality images quickly. The live rendering of the landscape in various resolutions, including a full HD image, demonstrates the model's performance without the need for extensive computational resources. The script also touches on the community's excitement about the model's potential, as evidenced by a Reddit user's spreadsheet that confirms Flux can handle up to 2 megapixels. The narrator concludes by generating a Pixar-style cartoon of an alpaca, illustrating the model's versatility and the user's satisfaction with the results, even at higher resolutions and without cherry-picking the best outcomes.

Mindmap

Keywords

💡Flux NF4

Flux NF4 refers to a new version of the Flux AI model designed to run efficiently on lower-end hardware, often referred to as 'potato PCs'. It is a significant upgrade that allows for faster processing times, as mentioned in the script, reducing the time from 50 seconds on an RTX 4090 to 14 seconds. This advancement is crucial for the video's theme, which focuses on the improvements and capabilities of Flux NF4, enhancing accessibility for users with less powerful systems.

💡ComfyUI

ComfyUI is a user interface for managing and running AI models like Flux. In the context of the video, updating ComfyUI is essential to utilize the new Flux NF4 model, indicating its role as a platform that supports the integration of updated models for improved performance. The script mentions updating ComfyUI to access the new features and capabilities of Flux NF4.

💡Checkpoint Loader

A checkpoint loader in the script refers to a component used in AI model workflows to load saved model states, which are necessary for the model to continue training or generate outputs from a specific point. The video emphasizes changing the checkpoint loader to 'nf4' to accommodate the new Flux NF4 model, showcasing its importance in the workflow for generating images with the updated model.

💡Forge

Forge is mentioned as a platform compatible with Flux NF4, indicating its versatility and the ability to integrate with different systems. The script suggests that Flux NF4 works in Forge, which is beneficial for users of this platform, expanding the audience that can take advantage of the model's capabilities.

💡Model Loader

The model loader is a specific type of software component that loads the AI model into the system. In the video script, replacing the existing model loader with the 'nf4' version is a key step in setting up the Flux NF4 model, highlighting the process of updating the system to work with the new model.

💡VAE

VAE, or Variational Autoencoder, is a type of neural network architecture used in the context of the video for image generation. The script mentions using the old VAE with the new Flux NF4 model, indicating a compatibility and a way to leverage existing components with updated models for enhanced performance.

💡SFT

SFT, or Soft-DTGAN, is a model discussed in the script that can be used alongside the new Flux NF4 model. It represents the ongoing development and integration of different AI components to achieve better results in image generation tasks, as demonstrated in the video.

💡Resolution

The term 'resolution' in the video refers to the pixel dimensions of the generated images, with a focus on higher resolutions like 1080p and 1920x1080. The script demonstrates the capability of Flux NF4 to generate high-resolution images in real-time, which is a significant aspect of the model's performance and a key point in the video's narrative.

💡Live Rendering

Live rendering is a process shown in the video where the AI model generates images in real-time. It is an important concept as it demonstrates the speed and efficiency of Flux NF4, allowing viewers to see the immediate results of the model's image generation capabilities.

💡Cherry Picking

Cherry picking in the context of the video refers to selectively choosing the best results from multiple generations. The script mentions not cherry picking results to show an unbiased view of the model's performance, which is an honest representation of the model's capabilities.

💡Custom Nodes

Custom nodes are user-created components in the workflow that can be added to the system for specific tasks. The video script discusses updating or installing custom nodes for Flux NF4, which is part of the process of integrating the new model into the existing workflow.

Highlights

Introduction of Flux NF4, a new version of Flux designed for lower-end PCs.

Flux NF4 runs significantly faster on a potato PC compared to the regular Flux Dev.

Only one action is needed to use Flux NF4: loading the model.

Updating Comfy UI is necessary to use Flux NF4.

Flux NF4 is compatible with both Comfy UI and Forge.

A different checkpoint loader is required for Flux NF4.

Instructions on how to replace the model loader with the NF4 checkpoint loader.

Using the built-in VAE in the NF4 model is possible and works well.

A guide is provided for those new to Flux and Comfy UI.

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

Flux NF4 can generate high-quality images quickly even on less powerful hardware.

Live rendering of a fantasy landscape using Flux NF4 at 16x9 ratio.

Flux NF4 allows for full HD resolution image generation in real-time.

Comparison of Flux NF4's performance with the regular Flux Dev.

Flux NF4's ease of use and accessibility for a wider audience.

A live demonstration of generating a woman lying on grass with Flux NF4.

Flux NF4's capability to generate images with complex details like an alpaca on a picnic.

Flux NF4's potential to generate images at 2 megapixels as per user findings.

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