Flux1-schnell can be run locally in Python on modest GPUs-Link to tutorial given below

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In this tutorial, we present a brief demonstration of FLUX1[schnell] model and algorithm that can be run on a local Linux Ubuntu computer and Python.

Here is the complete tutorial explaining how to run and install FLUX1[schnell]

After half a day of struggle, I was able to install and successfully run Flux1 [schnell] model in Python on my local computer running Linux Ubuntu. Flux1[schnell] is a model that is used to generate images from text descriptions. I tested Flux1[schnell] on my NVIDIA 3090 GPU with 24 GB RAM. The results are truly amazing. I will create a separate video tutorial explaining how to properly install and run Flex1[schnell] on a local machine in Python. In this tutorial, I will first briefly explain what Flux1[schnell] is, then, I will run a real-time demonstration, and finally I will show you some results. Press subscribe and like for the next video tutorial on how to install Flux 1[schnell] on a local machine.

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. In this tutorial, we explain how to install and how to run Flux 1 [schnell] in Python on a local Linux machine.

[aleksandarhaber]

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[yaminimanral]

great video! i have a question: my images were a little grainy. how can i fix that?

[aleksandarhaber]

Here is the complete tutorial explaining how to run and install FLUX1[schnell]