Flux.1 Schnell and Pro - New AI Image Model like Midjourney

Fahd Mirza
1 Aug 202413:16

TLDRDiscover Flux, a new AI image model reminiscent of Midjourney, featuring a 12 billion parameter, open-source model capable of high-quality image generation from text. Flux offers three versions: the open-source Chanel with Apache 2 license, the non-commercial Dev, and the API-accessible Pro. This video guides you through installing Flux locally and generating stunning images using various prompts, showcasing the model's vividness and crispness. For those unable to run it locally, Flux Pro's API is available, demonstrating the potential of this groundbreaking technology.

Takeaways

  • 😀 The video introduces a new AI image model called 'Flux.1', which is similar to Midjourney and is open-sourced.
  • 🔍 Flux.1 is a 12 billion parameter model that utilizes rectified flow Transformer for high-quality image generation from text descriptions.
  • 🌐 The model is available in three versions: Flux.1 Chanel (open-source with Apache 2 License), Flux.1 Dev (non-commercial license), and Flux.1 Pro (accessible via API).
  • 💻 The installation process involves setting up a Python environment, installing prerequisites like torch and Transformers, and cloning the Flux.1 repository.
  • 🔗 The video provides a link to the Flux.1 repository by Black Forest Lab in the description, which includes the necessary code for running the model.
  • 📷 Viewers can generate images using the model through a streamlit demo launched in the browser, which also downloads the required model files.
  • 🔑 Flux.1 Pro is available for commercial use through an API from providers like Hugging Face and Replicate.
  • 🎨 Flux.1 Dev is a distilled model for non-commercial applications, with weights available on Hugging Face and Replicate for direct use.
  • 🚀 Flux.1 Chanel is the fastest model for local development and personal use, and its weights are also available on Hugging Face.
  • 💡 The video mentions an upcoming text-to-video model from Flux, which will require a high VRAM GPU (at least 80 GB) to run.
  • 💰 The cost of using Flux.1 Pro via API is approximately 0.5 cents per megapixel, allowing for about 20 runs per $1.
  • 🎉 The presenter is impressed by the quality and capabilities of Flux.1, comparing it to Midjourney and encouraging viewers to try it out.

Q & A

  • What is the name of the new AI image model introduced in the video?

    -The new AI image model introduced in the video is called 'Flux.1'.

  • Is the Flux.1 model open-sourced?

    -Yes, the Flux.1 model is open-sourced, allowing users to run it on most mid to high-level GPUs.

  • What type of license does the Flux.1 model have?

    -Flux.1 is available under the Apache 2 license, which is open-source.

  • What are the three flavors of the Flux model mentioned in the video?

    -The three flavors of the Flux model mentioned are Flux.1 Chanel, Flux Dev, and Flux Pro.

  • Which license does Flux Dev have, and what is its intended use?

    -Flux Dev has a non-commercial license and is intended for non-commercial applications.

  • How can one access the Flux Pro model?

    -Flux Pro can be accessed through an API provided by Fall and a few other providers, including Replicate.

  • What is the model size of Flux.1 and what GPU VRAM is recommended to run it?

    -The model size of Flux.1 is around 44.5 GB, and it is recommended to have at least 80 GB of GPU VRAM to run it.

  • What is the cost of running the Flux.1 model via API?

    -The cost of running the Flux.1 model via API is approximately 0.05 cents per megapixel.

  • What is the website mentioned in the video for accessing the Flux models?

    -The website mentioned in the video for accessing the Flux models is fall.f.

  • What is the upcoming release from the creators of Flux.1?

    -The upcoming release from the creators of Flux.1 is a text to video model.

  • How can one try out the Flux.1 model without installing it locally?

    -One can try out the Flux.1 model without installing it locally by using the API provided by Fall or other providers.

Outlines

00:00

🚀 Introduction to Fall's New AI Model

The video introduces a newly released AI model from Fall, which is reminiscent of the popular mid-journey style. The model, named 'Chanel,' is open-sourced and features a 12 billion parameter text-to-image and image-to-image capability. It utilizes a rectified flow Transformer for high-quality image generation from text descriptions. The video showcases some of the images generated by the model and discusses three different versions of the model: Chanel, which is open-source under the Apache 2 License; Flux Dev, which is non-commercial; and Flux Pro, which is available through an API from Fall and other providers like replicate. The video also mentions a sponsorship by M Compute, offering a GPU for the demonstration and a discount coupon for viewers. The presenter proceeds to set up a Python environment and install prerequisites for running the model.

05:00

🛠️ Installing and Using the AI Model

The presenter guides viewers through the process of installing the AI model locally, starting with cloning the repository provided by Black Forest Lab. After installing the prerequisites, the model is launched using a streamlit demo, which also downloads the necessary model files. The video explains that the model requires a significant amount of VRAM, with the model size being around 44.5 GB, and the presenter's GPU with 48 GB of VRAM struggles to handle it. The video then provides an overview of the different models available, highlighting the state-of-the-art performance of Flux Pro, the efficiency of Flux Dev, and the local development suitability of Chanel. The presenter also mentions upcoming text-to-video models and the technical advancements in the Flux models, such as rotary positional embeddings and parallel attention layers.

10:02

🎨 Generating Images with the AI Model

The presenter demonstrates the image generation capabilities of the AI model using both the Flux Pro API and the locally accessible Chanel model. The video shows the process of generating images from text prompts, with the presenter providing detailed descriptions for the prompts. The generated images are described as vivid, crisp, and hyper-realistic, with each detail and texture rendered in exquisite clarity. The presenter also discusses the cost associated with using the API, highlighting the affordability of generating high-quality images. The video concludes with the presenter encouraging viewers to try out the model, share their thoughts, and subscribe to the channel for more content.

Mindmap

Keywords

💡Flux.1

Flux.1 refers to a newly released AI image model that is being compared to Midjourney in the video script. It is an open-source, 12 billion parameter model capable of generating high-quality images from text descriptions. The model uses rectified flow Transformer, a technology that enhances image generation capabilities. In the context of the video, Flux.1 is presented as a significant advancement in the field of AI image generation, with the potential to rival or even surpass the capabilities of Midjourney.

💡Midjourney

Midjourney is mentioned as a reference point for Flux.1, indicating that it is a well-known AI model in the field of image generation. The video suggests that Flux.1 will be appreciated by fans of Midjourney due to its similar capabilities and improvements. Midjourney is used to set the expectation for the performance and quality of Flux.1, and it serves as a benchmark for comparison throughout the script.

💡Rectified Flow Transformer

Rectified Flow Transformer is a technical term referring to a specific type of AI model architecture used in Flux.1. It is designed to improve the quality of image generation from text descriptions. The script highlights this technology as a key feature of Flux.1, suggesting that it contributes to the model's ability to produce high-quality images, which is a central theme of the video.

💡Open-source

The term 'open-source' in the context of the video refers to the fact that Flux.1's model can be accessed and used by the public without restrictions, allowing it to be run on a wide range of GPUs. This openness is a significant aspect of Flux.1, as it enables a broader community to experiment with and contribute to the development and application of the model.

💡GPUs

GPUs, or Graphics Processing Units, are mentioned as the hardware required to run Flux.1. The video indicates that most mid to high-level GPUs can support the model, highlighting the accessibility of Flux.1 to users with varying levels of hardware capabilities. GPUs are essential for the video's narrative as they are the backbone of the computational power needed for AI image generation.

💡Apache 2 License

The Apache 2 License is a type of open-source license mentioned in the script, which governs the use of the Flux.1 model. It allows for the model to be freely used, modified, and shared, aligning with the open-source nature of the project. The license is an important aspect of the video as it sets the legal framework for how Flux.1 can be utilized by the community.

💡Flux Dev

Flux Dev is one of the three 'flavors' of the Flux model mentioned in the script. It is a non-commercial license model, which means it is intended for use in non-commercial applications. Flux Dev is distilled from Flux Pro and is presented as a more efficient version of the standard model, offering similar quality while being more accessible for developers.

💡Flux Pro

Flux Pro is the commercial version of the Flux model, which is only available through an API. It is described as having state-of-the-art performance in image generation, offering top-tier visual quality and output diversity. Flux Pro is positioned as the premium offering within the Flux suite, and its mention in the video emphasizes the range of options available for different use cases.

💡Hugging Face

Hugging Face is mentioned as a platform where the weights for the Flux models, specifically the Dev model, are available. It is a community and hub for machine learning models, and its inclusion in the script indicates that the Flux models are part of a broader ecosystem of AI resources. Hugging Face is presented as a resource for developers to access and utilize the Flux models.

💡Comfy UI

Comfy UI is referred to as a user interface that can be used to access the Flux models. Although not fully explained in the script, it suggests a user-friendly interface that simplifies the process of interacting with the AI models. Comfy UI is part of the video's narrative as it represents the accessibility and ease of use of the Flux models.

💡Text-to-Video Model

The text-to-video model is mentioned as an upcoming release from the creators of Flux.1. It signifies an expansion of the Flux suite into video generation, which is a significant advancement in AI capabilities. The script teases this feature as 'very exciting,' indicating that it will be a major addition to the Flux offerings and will likely have a high impact on the AI image and video generation community.

Highlights

Introduction of a new AI image model, Flux.1, similar to Midjourney.

Flux.1 is an open-source, 12 billion parameter model that can run on most mid to high-level GPUs.

The model uses rectified flow Transformer for high-quality image generation from text descriptions.

Three versions of Flux.1: Chanel, Flux Dev, and Flux Pro, each with different licensing and use cases.

Chanel is open-source under the Apache 2 License, suitable for local development and personal use.

Flux Dev is a non-commercial license model, distilled from Flux Pro, available on Hugging Face.

Flux Pro is available via API and offers state-of-the-art image generation performance.

Installation process demonstrated, including setting up a Python environment and installing prerequisites.

Cloning the Flux.1 repository and installing prerequisites from the provided repo.

Launching the model in a browser with Streamlit demo and downloading the model files.

The model's size is around 44.5 GB, which may not fit on GPUs with less than 48 GB VRAM.

Upcoming text-to-video model that requires at least 80 GB of VRAM.

Flux models are based on a hybrid architecture with multimodal and parallel diffusion Transformer blocks.

Improvements in model performance and hardware efficiency with rotary positional embeddings and parallel attention layers.

Demonstration of image generation using the API with different prompts and hyperparameters.

Cost-effectiveness of the model, with the ability to run it hundreds of times for just $1.

The potential of Flux.1 to revolutionize image generation and its comparison to Midjourney.

Encouragement for viewers to try the model and share their thoughts on the channel.