Edit model card

Flux-Dev2Pro

Flux-Dev2Pro finetunes the transformer of Flux-Dev to make LoRA training better.

As discussed in this blog https://medium.com/@zhiwangshi28/why-flux-lora-so-hard-to-train-and-how-to-overcome-it-a0c70bc59eaf, LoRA trained on Flux-Dev often yields bad results, because without guidance distillation the LoRA training is diverged from the original training process. Flux-Dev2Pro recovers Flux-pro from Flux-dev by finetuning the model for many steps. Two epoch of 3M high quality images have been trained.

The LoRA trained on Flux-Dev2pro yields a much better results when being applied on Flux-dev, just like LoRA trained on SDXL and being applied to SDXL-turbo/lightning.

To use this model, run:

from diffusers import FluxTransformer2DModel

transformer = FluxTransformer2DModel.from_pretrained("ashen0209/Flux-Dev2Pro", torch_dtype=torch.bfloat16)
Downloads last month
0
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.