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TLDRBlack Forest Labs has unveiled 'flux', a groundbreaking 12 billion parameter AI model surpassing all previous ones in image generation quality and prompt accuracy. Flux, available in two versions including a faster, albeit slightly lower quality 'flux schel', can be run locally or online for minimal cost. Despite potential training limitations due to its size, flux's uncensored capabilities and impressive prompt understanding have made it the top choice for AI enthusiasts, with installation guides and GPU optimization tips provided for an effortless setup.
Takeaways
- π² A new AI model named 'flux' has been released by Black Forest Labs, which is considered superior to previous models like Stable Diffusion 3.
- π§ Flux is a 12 billion parameters model capable of generating high-quality images with correct hands, text, photorealism, and anime styles.
- π Flux follows prompts more effectively than other models, making it highly responsive to user requests.
- π‘ The development team of Black Forest Labs consists of 15 people, 14 of whom are from Stability AI, indicating a significant shift in talent.
- π» Users can run Flux models locally on their computers or online for a minimal cost, offering flexibility in usage.
- π οΈ There are two installation methods for Flux: an automated installer for Patreon supporters and a manual installation process.
- π§ The automated installer simplifies the process by handling the installation and setup of necessary components like confy UI.
- π Manual installation requires downloading and placing several files into specific folders, which can be detailed in the video script.
- π Flux has a 'fast low vram' version and a 'flux schel' version that generates images at a faster pace with slightly less quality.
- ποΈ Optimal performance for Flux can be achieved by adjusting settings in Nvidia's control panel, including disabling cism fallback for certain GPUs.
- π For those without powerful local GPUs, the video describes how to rent GPU time on platforms like runpod to run confy UI remotely.
- π While Flux is less censored than Stable Diffusion 3, it still has limitations and cannot generate explicit content.
Q & A
What is the name of the new AI model released by Black Forest Labs?
-The new AI model released by Black Forest Labs is called Flux.
How many parameters does the Flux model have?
-The Flux model has 12 billion parameters.
What is special about the team behind Black Forest Labs?
-Black Forest Labs is a small team of 15 people, with 14 of them coming from Stability AI, which is notable because they have created a model that outperforms anything Stability AI has made by themselves.
What are the two versions of the Flux model mentioned in the script?
-The two versions of the Flux model mentioned are the Flux Dev model and the Flux Shel model, with the latter being a super fast version that generates images with slightly less quality but in a much shorter time.
What does the acronym 'fp8' refer to in the context of the Flux models?
-The acronym 'fp8' refers to a version of the Flux models that is optimized and requires less VRAM to run, making it more efficient.
How can users run the Flux models locally on their computers?
-Users can run the Flux models locally by installing Comfy UI and downloading the necessary models. They can choose between a fast low VRAM install or the unoptimized normal model, and follow the provided instructions for installation.
What is the recommended way to install Comfy UI for users who don't have it yet?
-For users who don't have Comfy UI installed yet, the recommended way is to use the Flux Comfy UI Manager Auto Installer, which simplifies the installation process with a few clicks.
What is the significance of the 'cudnn' setting in the Nvidia settings when using Flux?
-The 'cudnn' setting in the Nvidia settings is significant because choosing 'prefer no cuDNN fallback' allows the system to use only VRAM and not offload work to RAM, which can slow down image generation. This setting is recommended for users with powerful GPUs like the 3090 or 4090.
How can users who don't have a powerful GPU generate images using Flux?
-Users without a powerful GPU can rent a GPU on a cloud service like Runpod and run Comfy UI as if it was running on their local computer, following the provided instructions for setting up the environment.
What is the potential issue with training the Flux model that is mentioned in the script?
-The potential issue with training the Flux model is that it might not be possible to do so on consumer-grade GPUs due to the model's size and computational requirements. This could limit the model's future development and customization.
How does the Flux model handle complex prompts compared to other models?
-The Flux model is capable of handling complex prompts very well, generating images that closely match the prompt and are of high quality, even with intricate details and elements.
Outlines
π Introduction to Flux AI Model
The video script introduces a groundbreaking AI model named 'Flux' developed by a new company, Black Forest Labs. Flux is a 12-billion-parameter model that surpasses previous models in generating high-quality images, including anime and text-to-photo realism. The company's small team, primarily from Stability AI, has created a model that can be run locally or online for a minimal cost. The script outlines two installation methods: an automated installer for patrons and a manual installation process. The automated method involves using a manager Auto installer for Confy UI and choosing between fast low VRAM install or the standard model. The manual method requires downloading several files and placing them in specific folders, with a focus on the new FP8 optimized versions of the model for reduced VRAM usage.
π Installation and Configuration Guide
This section provides a detailed guide on how to install and configure the Flux AI model. It covers the process of using the Confy UI manager for installation, selecting the appropriate model based on VRAM capacity, and launching the model using specific batch files. The narrator also explains how to optimize image generation for different GPU capabilities, including settings for Nvidia 3D management to prevent image generation slowdown due to VRAM limitations. Additionally, the script introduces the Flux Schel model, a faster version that compromises on quality for quicker results, and demonstrates how to generate images using this model.
π§ Advanced Installation Techniques and GPU Rental
The script delves into advanced installation techniques for users with different VRAM capacities, emphasizing the use of FP8 versions of the model for those with limited resources. It also discusses the process of renting a GPU from a service like Runpod to utilize the Flux model without a powerful local GPU. The video provides step-by-step instructions for deploying a GPU pod, installing Confy UI, and setting up the model on a rented server. The narrator further explains how to download and organize the necessary model files on Runpod and how to use command lines for efficient file transfer.
π¨ Exploring Flux Model's Capabilities and Limitations
The final paragraph showcases the Flux model's ability to generate detailed and realistic images from complex prompts, highlighting its superior performance in generating anime and understanding prompt nuances. The script also touches on the model's limitations, particularly its censorship level compared to Stable Diffusion 3, and the uncertainty surrounding its trainability due to the immense computational power required for a 12-billion-parameter model. The video concludes with an invitation for viewers to try the model themselves, a thank you to patrons for their support, and an encouragement to subscribe and engage with the content for better YouTube algorithm visibility.
Mindmap
Keywords
AI Model
Black Forest Labs
Parameters
Text Photo Realism
Anime
Config UI
VRAM
Flux Schel
FP8
Runpod
Censorship
Highlights
Black Forest Labs has released a new AI model called Flux, which outperforms previous models.
Flux is a 12 billion parameters model capable of generating high-quality images with correct hands and text photo realism.
Flux follows prompts more accurately than Stable Diffusion 3 or any other model released to date.
Black Forest Labs is a small team of 15 people, 14 of whom are from Stability AI.
Flux models can be run locally on a computer or online for a few cents an hour.
Installation of Flux can be done using a Maring installer or manually with the necessary files.
The Flux model comes in two versions: the standard Flux and the faster Flux Schel.
Flux Schel is a super-fast version that generates images in fewer steps but with slightly less quality.
An FP8 version of the Flux models has been released, optimized for less VRAM usage.
The video provides a step-by-step guide on how to install and use Flux with Config UI.
Flux uses significantly more VRAM compared to Stable Diffusion 3 due to its larger size.
Nvidia settings can be adjusted for optimal image generation speed with Flux.
Users with less VRAM can use the FP8 version of Flux for faster image generation.
Flux can generate images with better quality and composition than any previous model.
Flux's ability to understand and follow prompts is exceptional, even for complex prompts.
The video demonstrates Flux's capability to generate anime images that follow prompts accurately.
Flux is less censored than Stable Diffusion 3 but still has limitations on generating explicit content.
The possibility of training Flux is uncertain, and it may require significant computational power.
The video offers support for any issues related to Flux installation and usage through Patreon.