This is tests of training a flux model, and all licensing conditions for the Flux Dev model apply. You can find the details here: https://huggingface.co/black-forest-labs/FLUX.1-dev. It's a great model!

A huge thank you to Datacrunch.io for generously providing their resources for training and support. I highly recommend them.

This is Checkpoint. CLIP and VAE is already on

This is my model trained on Flux, and it aims to create more diverse and realistic faces. The results show improvements in anatomy, facial features, and overall realism. However, a side effect is that noise appears in the images. This can be corrected with any upscaler - just find one that works for you. The model was trained on approximately 7,000 images over the course of several hours using powerful H100 cards. If the test results are mostly positive, I will train it on a larger dataset.

The number of training steps was limited due to budget constraints. Additionally, I used a small portion of my dataset, only 7,000 images, to reduce training time. When I get the opportunity, I plan to train a more refined model. You can use this model as you like, but please remember to adhere to the Black Forest Lab license terms.

I welcome any feedback in the comments - feel free to share any errors or shortcomings of the model. This is just an experiment.