NEW BEST AI MODEL! How to use Flux.

Sebastian Kamph
9 Aug 202410:20

TLDRThe video tutorial introduces Flux, a superior AI model for local use with enhanced prompt understanding and detail. It guides viewers through setting up Flux, downloading necessary models from Hugging Face, and configuring the Comfy UI. The video showcases Flux's realism capabilities with a 'Laura' model and demonstrates the workflow for generating images like a Viking woman. It also explores settings for optimal results and concludes with an impressive example of Flux's prompt understanding, generating images from a complex narrative prompt.

Takeaways

  • 😀 Flux is a new AI model with better prompt understanding and details than its predecessors.
  • 🛠️ To set up Flux, you need to download several models, including text encoder models, the 'vae' model, and the Flux model itself.
  • 💾 There are different versions of the Flux model available for download based on your system's specifications, such as 'fp16' for high-spec machines and 'fp8' for lower-spec machines.
  • 📁 The downloaded models should be placed in specific folders within the Comfy UI, such as the 'clip' and 'vae' folders for the text encoder and 'unet' for the Flux model.
  • 🔍 You can choose between two versions of the Flux model, 'Schnell' for 8-12 GB VRAM systems and 'Dev' for systems with more VRAM.
  • 🔗 Additionally, a realism 'Laura' model is available to enhance the realism of generated images.
  • 🖼️ The script provides a workflow example for generating images with Flux, including a Viking woman and a 'Laura' example.
  • 🔧 Customizing the Flux model involves adjusting settings like the 'flux guidance node', which is similar to CFG but with different optimal values.
  • 🎨 The script demonstrates how to integrate the 'Laura' model into the workflow to achieve more realistic image generation.
  • 📝 The video transcript includes a detailed guide on how to download and set up all necessary components for Flux on Comfy UI.
  • 🎬 The script also showcases an example of generating an image from a complex and detailed prompt, highlighting Flux's advanced understanding of prompts.

Q & A

  • What is the main topic of the video script?

    -The main topic of the video script is about setting up and using a new AI model called Flux, which is an improved version of previous models and can be used locally.

  • What are the three main components that need to be downloaded for setting up Flux?

    -The three main components that need to be downloaded for setting up Flux are the text encoder models, the VE model, and the actual Flux model.

  • What is the difference between the 'clip L safe tensors' and 'clip SFT' files?

    -The 'clip L safe tensors' and 'clip SFT' are different versions of the text encoder model for Flux. The 'clip L safe tensors' is for high-spec machines with more than 32 GB of RAM and a GPU with 16 GB or more, while the 'clip SFT' is for lower-spec machines and can run on an 8 to 12 GB VRAM GPU.

  • Where should the downloaded models be placed within the Comfy UI directory structure?

    -The downloaded models should be placed in specific folders within the Comfy UI directory: 'clip L safe tensors' and 'clip SFT' go into the 'models/clip' folder, the VAE model goes into 'models/vae', and the Flux model goes into 'models/unet'.

  • What is the purpose of the 'Laura' download mentioned in the script?

    -The 'Laura' download is a realism enhancement for Flux, which is a new feature that can be integrated into the workflow to improve the realism of the generated images.

  • How can one adjust the workflow to use the Flux model with the 'Laura' realism feature?

    -To use the Flux model with the 'Laura' realism feature, one needs to modify the workflow by adding a 'load Laura' node, connecting the 'clip' node to the 'Laura' node, and then connecting 'Laura' to the text prompt.

  • What is the recommended hardware requirement for running the Flux 'dev' model?

    -The recommended hardware requirement for running the Flux 'dev' model is a machine with more than 32 GB of RAM and a GPU with 16 GB or more.

  • What is the significance of the 'flux guidance node' mentioned in the script?

    -The 'flux guidance node' is a new feature in the Flux model that is similar to the 'CFG' node. It can be adjusted to potentially achieve more realistic results in the image generation process.

  • How can one troubleshoot red errors in the Comfy UI when loading a new workflow?

    -To troubleshoot red errors in the Comfy UI, one should go to the 'manager' section, click 'update all' to ensure the latest Comfy UI and custom nodes are installed, and then check the model paths and names to match the workflow requirements.

  • What is the recommended approach for testing different settings in Flux to achieve better results?

    -The recommended approach is to experiment with different settings, such as the number of steps in the generation process and the values in the 'flux guidance node', to see what works best for the specific image generation task.

  • Can the video script be used by anyone, or is it restricted to Patreon supporters?

    -The video script can be used by anyone, as it mentions that Patreon supporters are thanked but not required to access the guide or follow along with the video.

Outlines

00:00

🚀 Setting Up Flux Model for Local Use

This paragraph introduces the Flux model, which is considered superior to Midjourney, offering better prompt understanding and detail. The speaker aims to guide viewers through the process of setting up Flux for local use, emphasizing it as the optimal local model currently available. The setup involves downloading text encoder models, the VE model, and the Flux model itself from Hugging Face, choosing between different versions based on system specifications. The process also includes installing Comfy UI if not already done, and placing the downloaded models in specific folders. The speaker provides links for downloading necessary files and reassures that Patreon support is not required to follow along.

05:00

🎨 Customizing and Testing Flux with Realism Laura

The second paragraph delves into customizing the Flux model with the addition of a 'Realism Laura,' which is a new feature. The speaker demonstrates how to integrate the Laura into the workflow, adjusting settings, and experimenting with different configurations to achieve optimal results. The summary includes troubleshooting tips for resolving errors during setup, such as ensuring the latest Comfy UI updates are installed. The speaker also explores the 'flux guidance node,' a feature similar to CFG, and shares personal findings on its optimal settings. The paragraph concludes with a creative example of generating an image using a complex prompt, showcasing Flux's ability to understand and render detailed scenes.

10:03

📚 Final Thoughts on Flux Setup and Usage

In the final paragraph, the speaker wraps up the tutorial by summarizing the steps taken to get Flux running on the Comfy UI machine. They reiterate the ease of following the setup even without Patreon support and express hope that the tutorial has been helpful. The speaker also hints at the potential for further exploration and customization, suggesting that while text can be added later, the viewer is now equipped with the foundational knowledge to begin experimenting with Flux and creating their own unique outputs.

Mindmap

Keywords

💡Flux

Flux is a term used in the video to refer to a new AI model that is considered superior in terms of prompt understanding, detail, and overall capabilities compared to its predecessor, 'mid-journey.' It is positioned as the ideal model to use locally, suggesting it can be run on personal computers without the need for cloud-based services. The video's theme revolves around setting up and utilizing the Flux model for AI-generated content.

💡Prompt

In the context of AI and the video, a 'prompt' is a text input given to the AI model to guide the generation of content. It is a crucial part of the process as it directly influences the output. The video discusses how Flux handles prompts, indicating an improvement in understanding and generating detailed and accurate responses to them.

💡Comfy UI

Comfy UI is mentioned as a necessary tool or platform for using the Flux model. It seems to be a user interface where users can manage and interact with AI models like Flux. The script guides viewers on downloading models and setting up workflows within the Comfy UI environment.

💡Models

The term 'models' in the script refers to different AI components that are required for the Flux model to function. These include text encoder models, the 'vae' (Variational Autoencoder), and the Flux model itself. The video provides a step-by-step guide on downloading and setting up these models for use with Comfy UI.

💡Hugging Face

Hugging Face is identified as a source for downloading necessary models for Flux. It is an organization known for providing AI models and related resources. The video script directs viewers to specific links on Hugging Face to obtain the required models for setting up Flux.

💡VRAM

VRAM, or Video RAM, is mentioned in the context of hardware requirements for running the Flux model. It refers to the memory dedicated to the GPU (Graphics Processing Unit), which is important for handling the computational tasks of AI model generation. The script suggests different models based on the amount of VRAM available.

💡Workflow

A 'workflow' in the video refers to a sequence of steps or a process that users need to follow to get the Flux model up and running. It includes downloading models, setting up the Comfy UI, and configuring the AI model to generate content based on prompts.

💡Realism Laura

Realism Laura is introduced as a specific type of model or component that enhances the realism of the AI-generated images. The video script provides instructions on how to integrate the 'Laura' into the workflow to achieve more realistic outcomes with the Flux model.

💡Flux Guidance Node

The 'Flux Guidance Node' is a feature within the Flux model that is similar to CFG (Control Flow Graph) but is not exactly the same. It is used to adjust the AI's behavior during content generation, potentially leading to more realistic results. The script suggests experimenting with its value for different outcomes.

💡Chat GPT

Chat GPT is mentioned in the context of creating complex and detailed prompts for the AI model. It is an AI chatbot known for its ability to generate human-like text. The video script shows an example of a prompt created with the help of Chat GPT, indicating its utility in crafting comprehensive instructions for AI models like Flux.

Highlights

Flux is introduced as a superior AI model with better prompt understanding and detail compared to its predecessors.

Flux is capable of creating realistic images, as demonstrated by the Viking woman example.

The introduction of a new feature, Flux Realism Laura, is mentioned for enhancing image realism.

A guide is provided for setting up Flux locally, emphasizing it as the best current local model option.

Instructions for downloading necessary models from Hugging Face are given, including text encoder models, the VE model, and the Flux model itself.

Different model versions are suggested based on the user's hardware specifications, such as FP16 for high-spec machines and FP8 for lower-spec ones.

Comfy UI is recommended for managing models and workflows, with a guide available for installation.

The process of downloading and placing models in specific folders within Comfy UI is detailed.

Two Flux model options are presented: Schnell for 8-12 GB VRAM and Dev for more than 12 GB VRAM.

An alternative FP8 version of Flux is mentioned for users with system requirements issues.

The Laura model is introduced for realism, with instructions on downloading and integrating it into the workflow.

Workflow examples for both the Dev and Schnell models are provided, with instructions on how to implement them in Comfy UI.

Troubleshooting tips are given for resolving red errors in the workflow, such as updating Comfy UI and ensuring correct model paths.

The Flux Guidance node is introduced as a new feature for adjusting image realism, with suggested values for experimentation.

A demonstration of Flux's prompt understanding is shown with the creation of a 'cat in a hat eating a green donut'.

An example of a complex prompt from Reddit user 'striking long' is used to test Flux's capabilities with a 'Ninja Chicken' scenario.

The results of the 'Ninja Chicken' prompt are analyzed, showing Flux's ability to handle complex and detailed requests.

The video concludes with a summary of how to get Flux running on Comfy UI and the potential for further customization and experimentation.