| license: apache-2.0 | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| <img src="https://huggingface.co./ostris/OpenFLUX.1/resolve/main/assets/banner_0_1_0-0.png" style="max-width: 100%;"> | |
| <div style="color: #f0b800;"> | |
| # <span style="color: #f0b800;"> Beta Version v0.1.0 </span> | |
| After numerous iterations and spending way too much of my own money on compute to train this, I think it is finally at the point I am happy to consider it a beta. I am still going to continue to train it, but the distillation has been mostly trained out of it at this point. So phase 1 is complete. Feel free to use it and fine tune it, but be aware that I will likely continue to update it. | |
| </div> | |
| <img src="https://huggingface.co./ostris/OpenFLUX.1/resolve/main/assets/banner_0_1_0-3.png" style="max-width: 100%;"> | |
| ## What is this? | |
| This is a fine tune of the [FLUX.1-schnell](https://huggingface.co./black-forest-labs/FLUX.1-schnell) model that has had the distillation trained out of it. Flux Schnell is licensed Apache 2.0, but it is a distilled model, meaning you cannot fine-tune it. However, it is an amazing model that can generate amazing images in 1-4 steps. This is an attempt to remove the distillation to create an open source, permissivle licensed model that can be fine tuned. | |
| ## How to Use | |
| Since the distillation has been fine tuned out of the model, it uses classic CFG. Since it requires CFG, it will require a different pipeline than the original FLUX.1 schnell and dev models. This pipeline can be found in open_flux_pipeline.py in this repo. I will be adding example code in the next few days, but for now, a cfg of 3.5 seems to work well. | |
| <img src="https://huggingface.co./ostris/OpenFLUX.1/resolve/main/assets/banner_0_1_0-1.png" style="max-width: 100%;"> |