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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+assets/banner_0_0_8.png filter=lfs diff=lfs merge=lfs -text

README.md

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 pipeline_tag: text-to-image
 ---
 
-<img src="https://huggingface.co/ostris/OpenFLUX.1/resolve/main/assets/banner_0_0_6.png" style="max-width: 100%;">
+<img src="https://huggingface.co/ostris/OpenFLUX.1/resolve/main/assets/banner_0_0_8.png" style="max-width: 100%;">
 
 <div style="color: red;">
   
 # <span style="color: red;"> Not Ready </span>
   
-This is a WIP and not ready for use. This is an early testing version for research and development. You may know what this is and how to use it, if so, 
-feel free, but it will change as I continue to develop it. I plan to do many updates to it frequently. So you may want to set a revision if you intend to use it anyway.
+This is a WIP. It is nearing a state I am going to call "early pre alpha". You are welcome to start messing with it at this point, but it still has a ways to go before it is ready for people to start finetuning on it. New updates are being pushed every few days as it continues to train. I will update this message when it is ready for that.
 
 </div>
 
 ## What is this?
 
-[FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) is an amazing distilled model with an apache 2.0 license. However, it is not finetunable. LoRAs, IP adapters, control nets, etc, cannot be trained on it
-because it is distilled. The goal of this project is to finetune a non-distilled version of it that can be used as a training base to train adapters for FLUX.1-schnell.
-
-## Current Issues
-
-Since we are breaking the distillation, this model will need many steps and guidance to produce good results. Currently, this model, like the schnell version, does not
-have guidance embeddings. Because of this (and possible other factors) images generated with this model will not look great. However, this hopefully will not affect training,
-since guidance is not used during training. The things trained on this model are intended to be used on the schnell version anyway. I am working on training guidance
-embeddings for it, but hopefully it will work as a training base without them.
+This project started as a way to train adapters for the [FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) model. But has evolved over time. The purpose of this project now, is to create an open source version of FLUX.1 that uses classic CFG and is finetunable for the community. Since it requires CFG, it will require a different pipeline than the original FLUX.1. This pipeline can be found in open_flux_pipeline.py in this repo.