How To Use FLUX | ComfyUI Tutorial

MDMZ
9 Aug 202406:45

TLDRThis ComfyUI tutorial introduces FLUX, a groundbreaking image generation model by Black Forest Labs. The video demonstrates how to set up FLUX on your computer, emphasizing its superior text rendering and realism. It guides viewers through the installation process, model and encoder downloads, and workflow setup. The tutorial also covers generating realistic images and text, showcasing FLUX's versatility and quality. Finally, it suggests using Topaz Photo AI for image upscaling to enhance the results.

Takeaways

  • 🌟 FLUX is a new image model developed by Black Forest Labs, known for its quality and realism, and its ability to render text and human hands exceptionally well.
  • 🛠️ To use FLUX with ComfyUI, you must first install ComfyUI if you haven't already, and there's a separate tutorial available for that.
  • 📦 Download the FLUX model, choosing between the dev version and the Schnell version, with the latter potentially prioritizing speed over quality.
  • 🔍 Three different encoders are required, with links provided in the description, and should be saved under ComfyUI models in the respective folders.
  • 🔄 The VAE model is also necessary, with two versions available depending on the FLUX version you choose, and should be placed in the VA folder.
  • 🖼️ Open Art provides a simple workflow for FLUX, which can be downloaded and loaded onto the ComfyUI interface.
  • 📝 Write a prompt describing the image you want to generate; there's a video tutorial on crafting good prompts if needed.
  • 🎛️ Customize settings such as image width, height, seed, sampler, scheduler, steps, and select the appropriate VAE model for the best results.
  • 💻 Be aware that FLUX can be resource-intensive, especially on GPUs with lower VRAM, and consider alternative versions or cloud-based solutions if needed.
  • 🎉 The output images from FLUX are of high quality, with impressive details and realism, as demonstrated in the video.
  • 📚 FLUX excels at generating text accurately and in context, making it powerful for various creative tasks.
  • 🖌️ For even higher quality images, third-party image upscalers like Topaz Photo AI can be used to sharpen and upscale the generated images.

Q & A

  • What is FLUX and who developed it?

    -FLUX is an incredible new image generation model developed by Black Forest Labs, the same team behind Stable Diffusion.

  • How does FLUX compare to other image generators like M journey and Dolly?

    -FLUX is considered as good, if not better than other leading image generators in terms of overall quality and realism. It particularly excels in rendering text and generating human hands.

  • What is ComfyUI and why is it needed for using FLUX?

    -ComfyUI is a user interface that allows users to run the FLUX model on their computers. It's required for setting up and operating FLUX locally.

  • Which versions of the FLUX model are suitable for local use?

    -There are two main versions suitable for local use: the dev version and the Schnell version. The Schnell version is reported to run faster, possibly prioritizing speed over quality.

  • What additional files are needed to set up FLUX with ComfyUI?

    -Three different encoders and a VAE model are needed. There are two versions of the VAE model, one for each of the FLUX versions (dev and Schnell).

  • Where should the downloaded FLUX model and other files be placed?

    -The downloaded FLUX model should be placed in the 'ComfyUI models' under the 'unet' folder. The encoders go in 'ComfyUI models clip', and the VAE model in 'ComfyUI models' inside the 'VA' folder.

  • How can one get the simple workflow for FLUX?

    -The simple workflow for FLUX can be downloaded from a page on OpenArt, and then dragged and dropped onto the ComfyUI interface.

  • What is the purpose of the prompt in the FLUX workflow?

    -The prompt is a description that tells FLUX what image to generate. It's crucial for guiding the model to create the desired output.

  • What are some factors that can affect the speed and quality of image generation in FLUX?

    -Factors include the choice between the dev and Schnell versions, the encoder used (e.g., default fp8 or T5 XXL fp16), the image dimensions, the seed setting, the sampler name, the scheduler, the steps value, and the selected VAE model.

  • What issues might users with lower-end GPUs encounter when using FLUX?

    -Users with lower-end GPUs might experience slow generation times. Options to address this include using the Schnell version of FLUX, trying different encoders, or using cloud-based solutions like Think Diffusion.

  • How can the quality of generated images be improved further?

    -The quality can be improved by using a third-party image upscaler like Topaz Photo AI, which sharpens and upscales the image, reintroducing details.

Outlines

00:00

🖼️ Setting Up Flux Model with Comi UI

This paragraph introduces the Flux model developed by Black Forest Labs, creators of Stable Diffusion. It emphasizes Flux's superiority in image quality and realism over other leading image generators like M journey and Dolly. The script focuses on the process of setting up Flux on a computer using Comi UI, including installing Comi, downloading the model, and configuring the necessary files and settings. The video will guide viewers through the installation of the dev version of Flux, the download and placement of three encoders, and the selection of the VAE model. It also advises viewers to update Comi UI to the latest version and provides a link to a simple workflow for Flux on OpenArt.

05:03

📚 Flux's Text Rendering and Image Generation

The second paragraph demonstrates Flux's capabilities in text rendering and generating images with human hands. It showcases the model's ability to produce accurate text and character depictions, as well as its proficiency in generating realistic images. The script describes the process of generating a children's book cover with text and a character, highlighting the model's accuracy and design coherence with the prompt. It also discusses the generation of an image with human hands, noting the correct finger count and realism. The paragraph concludes with a mention of using a third-party image upscaler, Topaz Photo AI, to enhance and upscale the generated images, providing a before-and-after comparison to illustrate the improvements.

Mindmap

Keywords

💡FLUX

FLUX is an advanced image generation model developed by Black Forest Labs, the same team behind Stable Diffusion. It is recognized for its high quality and realism in image rendering, making it comparable or superior to other leading image generators such as M journey and Dolly. In the video, FLUX is highlighted for its exceptional ability to render text and generate human hands, showcasing its versatility and advanced capabilities in the field of AI-generated art.

💡ComfyUI

ComfyUI is a user interface that facilitates the use of various models for image generation. The tutorial video is focused on setting up FLUX within ComfyUI, which requires downloading and installing specific models and encoders. ComfyUI serves as the platform where users can interact with FLUX to generate images, emphasizing its role as a crucial tool for artists and designers looking to utilize AI in their creative process.

💡Dev version

The 'Dev version' refers to one of the two main versions of the FLUX model suitable for local use, as mentioned in the script. It is contrasted with the 'Schnell version,' which is reported to prioritize speed over quality. The video tutorial opts for the Dev version for its balance, although it suggests that users might experiment with the Schnell version for faster image generation.

💡Schnell version

The 'Schnell version' is another version of the FLUX model, which is said to run faster than the Dev version, potentially at the cost of some image quality. The script suggests that this version could be a good choice for users who prioritize speed in their image generation process, offering an alternative option to the standard Dev version.

💡Encoders

In the context of the video, 'encoders' are essential components that work in conjunction with the FLUX model to facilitate image generation. Three different encoders are mentioned, which need to be downloaded and placed in specific directories within ComfyUI. The choice of encoder can affect the precision and outcome of the generated images, with options like the default FP8 and the higher precision T5 XXL FP16.

💡Vae model

The 'VAE model,' or Variational Autoencoder model, is another crucial component for the FLUX setup in ComfyUI. There are two versions of this model, corresponding to the Dev and Schnell versions of FLUX. The VAE model is responsible for the initial encoding of the image data, which is then processed to generate the final image output.

💡Workflow

A 'workflow' in the video refers to a specific set of instructions or a sequence of steps that are followed to achieve a particular task. In this case, the simple workflow for FLUX is downloaded from OpenArt and loaded into ComfyUI to streamline the image generation process with FLUX, providing a structured approach to using the model.

💡Prompt

A 'prompt' in the context of AI image generation is a text description that guides the model in creating the desired image. The script emphasizes the importance of writing effective prompts to communicate the image concept to FLUX. The tutorial provides an example prompt for generating a realistic image of an elderly woman in a garden, illustrating how prompts direct the creative output of the model.

💡Seeder

The 'seed' in AI image generation is a numerical value that helps to randomize the output, ensuring that each image generated with the same prompt is unique. The script mentions setting the seed to randomize, which is a common practice to explore different variations of an image concept.

💡Scheduler

A 'scheduler' in the FLUX setup refers to an algorithm that controls the progression of the image generation process. The script mentions 'sgm uniform' as a preferred scheduler, but also encourages experimentation with other schedulers to find the best fit for different image generation needs.

💡Upscaling

In the video, 'upscaling' refers to the process of enhancing the resolution and detail of an image after it has been generated by FLUX. A third-party tool called Topaz Photo AI is recommended for this purpose, which can sharpen and upscale images, reintroducing details and improving the overall quality of the AI-generated artwork.

Highlights

Flux is a new model developed by Black Forest Labs, creators of Stable Diffusion.

Flux is comparable to other leading image generators like M journey and Dolly in quality and realism.

Flux stands out for its ability to render text and generate human hands effectively.

A tutorial is provided to set up Flux using ComfyUI.

ComfyUI must be installed first if it's not already on the user's computer.

There are two main versions of Flux suitable for local use: Dev and Schnell.

Schnell version is reported to run faster than Dev, prioritizing speed over quality.

Instructions on downloading and placing the Flux model and other necessary files are provided.

Three different encoders are required for Flux, with download links provided.

A VAE model is necessary for Flux, with two versions available depending on the chosen Flux version.

A simple workflow for Flux can be downloaded from OpenArt and added to ComfyUI.

Users can choose between different encoders and schedulers for image generation.

Writing effective prompts is crucial for image generation, with tips available in a separate video.

Flux can generate realistic images with adjustable width, height, and other parameters.

Flux may be slow to generate images, especially on lower-end GPUs.

Alternative solutions like cloud-based platforms are suggested for users with lower-end GPUs.

Flux's output quality is praised for its detail and realism.

Flux accurately renders text and character designs as per the user's prompt.

Flux performs well in generating images of hands with correct finger count.

Third-party image upscalers can be used to enhance Flux's output quality.