Install and Run FLUX1.-schnell text to image model in Python and WINDOWS on a Local Computer

#flux1 #FLUX1.-schnell #flux #texttoimage #texttospeech #stablediffusion #generativeai #opencv #computervision #graphics #blackforestlab
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In this tutorial, we explain how to correctly install and run FLUX.1-schnell text-to-image model in Python and Windows on a local Windows computer.
We explain how to download the model, and how to properly install all the libraries necessary to run FLEX1.-schnell. Then, we explain how to write a simple Python script that will run the program.

Flux.1 [schnell] is a rectified flow transformer that is used to generate images from text descriptions. The rectified flow transformer has around 12 billion parameters. It is released under Apache 2.0 license, which means that this model can be used for personal, scientific, and commercial purposes. In this tutorial, we explain how to correctly install and how to run Flux 1 [schnell] in Python on a local Windows computer.

Software/Hardware prerequisites:

- Official webpage states that the FLUX.1[schnell] can be run locally. However, they do not specify the required GPU memory requirements and other specs, or if they did, we could not find the specs. If you just blindly run the script on the official Hugging Face website, you will see that the script will not run unless GPU has 60 GB VRAM is available. However, you can actually run FLUX1.[schnell] on GPUs with less memory, by just adding a single line of code. We have tested FLUX1.[schnell] on NVIDIA 3090 with 24 GB VRAM and it takes around 30-60 seconds to generate an image. You can decrease this time by optimizing the code. More about this in our future video tutorials. To summarize, you will need a relatively modest GPU to run FLUX.1[schnell]. In the comment section below you can share with us your experiences in running FLUX.1[schnell] on different GPUs.

[aleksandarhaber]

It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button

[Jackson_Hole_]

This is so cool. I am generating images. My system is I-9 Intel, 32 GB Ram with a NVDIA 4070 Super. THANK YOU! THANK YOU! 5

[flowthepoet]

do I need to have python installed to run the python -m venv flux1 command? it didn't work on this step it says this error: ]' returned non-zero exit status 1.

[InfiniMedia]

all good up till 10:11. I don't have the flux1 folder or the scripts. Where do I find these files and instructions install_flux