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

Fahd Mirza
1 Aug 202413:16

TLDRDiscover Flux.1, a new AI image model reminiscent of Midjourney, featuring a 12 billion parameter open-source model capable of high-quality text-to-image generation. Explore three versions: Flux.1 Chanel, open-source under Apache 2 License; Flux.1 Dev, for non-commercial use; and Flux.1 Pro, accessible via API. Learn how to install and use these models locally or through APIs, and get ready for the upcoming text-to-video model. Experience the vivid, crisp images generated from text prompts with Flux.1's advanced hybrid architecture.

Takeaways

  • 😀 Flux.1 is a newly released AI image model that is similar to Midjourney and is open-sourced.
  • 🤖 It is a 12 billion parameter model capable of generating high-quality images from text descriptions.
  • 🌐 Flux.1 uses rectified flow Transformer technology for image generation.
  • 🎨 Three versions of Flux.1 exist: Flux.1 Chanel (open-source), Flux.1 Dev (non-commercial license), and Flux.1 Pro (API access only).
  • 💻 The Chanel version of Flux.1 can be run on most mid to high-level GPUs and is available under the Apache 2 license.
  • 🔗 Flux.1 Pro can be accessed via API from providers like Fall and Replicate.
  • 🛠️ The video provides a tutorial on how to install and use Flux.1 locally, including setting up a Python environment and installing prerequisites.
  • 🎁 M Compute is sponsoring the video with a GPU for demonstration and offers a discount coupon for their GPU rental service.
  • 🔄 Flux.1 models are based on a hybrid architecture with multimodal and parallel diffusion Transformer blocks, and have improved upon previous models with flow matching and hardware efficiency.
  • 📈 The video demonstrates the process of generating images using Flux.1, including the selection of models and input of text prompts.
  • 💡 Flux.1 is expected to release a text-to-video model soon, which will require a high VRAM GPU for operation.

Q & A

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

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

  • Is the Flux.1 model open-sourced?

    -Yes, the Flux.1 model, specifically the 'Channel' version, is open-sourced under the Apache 2 license.

  • What is the parameter size of the Flux.1 model?

    -The Flux.1 model has 12 billion parameters.

  • Which technology does Flux.1 utilize for generating images from text descriptions?

    -Flux.1 utilizes rectified flow Transformer technology for generating images from text descriptions.

  • What are the three versions of the Flux.1 model mentioned in the transcript?

    -The three versions mentioned are Flux.1 Channel, Flux.1 Dev, and Flux.1 Pro.

  • What is the licensing type for the Flux.1 Dev model?

    -The Flux.1 Dev model is available under a non-commercial license.

  • How can one access the Flux.1 Pro model?

    -The Flux.1 Pro model can only be used with an API, which is available from providers like Fall and Replicate.

  • What is the minimum GPU VRAM requirement to run the Flux.1 model locally?

    -The minimum GPU VRAM requirement to run the Flux.1 model locally is around 80 GB.

  • What is the cost for using the Flux.1 Pro model via the API?

    -The cost for using the Flux.1 Pro model via the API is approximately 0.5 cents per megapixel.

  • How can one try out the Flux.1 Channel model locally?

    -To try out the Flux.1 Channel model locally, one needs to clone the repo provided by Black Forest Lab, install the prerequisites, and run the Streamlit demo from the root of the repo.

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

    -The creators of Flux.1 are planning to release a text-to-video model in the near future.

Outlines

00:00

🚀 Introduction to the New Flux Model

The video introduces a new text-to-image and image-to-image model called 'Flux' from Fall, which is reminiscent of Mid Journey. Flux is open-sourced and has a 12 billion parameter model that can be run on mid to high-level GPUs. The model utilizes rectified flow Transformers to generate high-quality images from text descriptions. The video showcases some generated images and mentions three versions of the model: the open-sourced Chanel, the non-commercial Flux Dev, and the API-accessible Flux Pro. The video also highlights a sponsorship from M compute, offering a GPU rental service with a discount coupon for viewers.

05:00

🛠️ Setting Up and Exploring Flux Models

The script details the process of setting up the Flux model locally, starting with creating a Python 3.10 environment and installing prerequisites like torch and Transformers. It guides viewers through cloning the repo provided by Black Forest Lab and installing additional prerequisites. The video demonstrates launching a streamlit demo to run the model and downloading the model files, which are around 44.5 GB in size. It also provides an overview of the three Flux models, emphasizing their unique features, licenses, and availability. The script discusses the technical advancements in the Flux models, such as the hybrid architecture and improvements in hardware efficiency, and mentions an upcoming text-to-video model.

10:02

🎨 Generating Images with Flux Models

The video script describes the experience of generating images using the Flux models through both local installation and API access. It shows the process of selecting the model version and entering prompts to create vivid and detailed images. The script provides examples of generated images, such as a serene woman on a cliff and a stunning blonde woman, and discusses the cost associated with using the API for image generation. It concludes by emphasizing the high quality and affordability of the Flux models, encouraging viewers to try them out and share their experiences.

Mindmap

Keywords

Midjourney

Midjourney is a term used in the script to refer to a popular AI image model that is known for generating high-quality images from text descriptions. It is brought up to draw a comparison with the newly released model 'Flux.1', indicating that fans of Midjourney will likely appreciate the similar capabilities of the new model. In the script, the comparison is used to set expectations for the performance of Flux.1.

Schnell

The term 'Schnell' is German for 'fast'. In the context of the video, it is part of the model name 'Flux.1 Schnell', suggesting that this version of the model is designed for speed, likely in terms of processing time or efficiency when generating images.

Flux.1

Flux.1 is the name of the new AI image model introduced in the video. It is an open-source model with 12 billion parameters, capable of generating images from text descriptions. The script highlights its three different versions, each with varying licenses and use cases, and its ability to produce high-quality images, making it a topic of central interest in the video.

Rectified Flow Transformer

Rectified Flow Transformer is a technical term referring to a type of machine learning model architecture that is capable of generating high-quality images from text. In the video, it is mentioned as the underlying technology that enables Flux.1 to create images, emphasizing its advanced capabilities in image generation.

Open-source

The term 'open-source' in the script refers to the fact that the Flux.1 model is freely available for anyone to use, modify, and distribute. This is significant as it allows a wider community of developers and users to access and contribute to the development of the model, as opposed to proprietary models that are restricted to specific uses or users.

GPUs

GPUs, or Graphics Processing Units, are specialized hardware used for accelerating the processing of images and complex computations. The script mentions that Flux.1 can be run on most mid to high-level GPUs, indicating the model's requirement for powerful hardware to function effectively.

Apache 2 License

The Apache 2 License is a permissive free software license that allows users to use, modify, and distribute the software, including for commercial purposes. In the context of the video, Flux.1 Chanel is open-sourced under this license, which means that it can be freely used and shared without many of the restrictions found in other types of licenses.

Flux Dev

Flux Dev is one of the three versions of the Flux.1 model mentioned in the script. It is a non-commercial license model, meaning it is intended for use in non-commercial applications. It is directly distilled from Flux.1 Pro, suggesting it offers a similar quality of image generation but is more efficient.

Flux Pro

Flux Pro is the commercial version of the Flux.1 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. The script suggests that it is the most advanced version of the model, tailored for professional use.

Hybrid Architecture

Hybrid Architecture in the context of the video refers to the design of the Flux.1 model, which combines multiple model and diffusion Transformer blocks. This design is said to have improved the model's performance and hardware efficiency, making it a key feature of the Flux.1 model's capabilities.

Parallel Attention Layers

Parallel Attention Layers are a technical feature of the Flux.1 model that contribute to its improved performance and hardware efficiency. These layers allow the model to process information in a way that is more efficient than traditional attention mechanisms, which is crucial for handling the large parameter size of the model.

Rotary Positional Embeddings

Rotary Positional Embeddings are a type of positional encoding used in the Flux.1 model to improve its ability to understand the spatial relationships within an image. This technique is part of the model's architecture that helps in generating more accurate and detailed images from text descriptions.

Highlights

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

Flux.1 is an open-source, 12 billion parameter model capable of generating high-quality images from text.

The model uses rectified flow Transformer technology.

Three different versions of Flux are available: Flux.1 Chanel, Flux.1 Dev, and Flux.1 Pro.

Flux.1 Chanel is open-source with an Apache 2 license.

Flux.1 Dev is a non-commercial license model, distilled from Flux.1 Pro.

Flux.1 Pro is available only through an API and is designed for commercial use.

Installation instructions for running Flux locally on a system with a compatible GPU.

Mention of M Compute sponsoring the VM and GPU for the video.

A coupon code for a 50% discount on a range of GPUs from M Compute.

Demonstration of the process to clone the Flux repository and install prerequisites.

Launching the model in a browser using Streamlit and downloading the model files.

The model's requirement of at least 80 GB of VRAM for顺畅运行.

Overview of the Flux models' capabilities and their impact on the AI image generation field.

Upcoming release of a text-to-video model by Flux.

Technical details on the hybrid architecture and improvements over previous models.

Demonstration of generating images using the API with different prompts.

Cost analysis of using the Flux API for image generation.

Comparison of the user experience between local installation and API usage.

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

Casual Browsing

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