FLUX.1-Dev LoRA explorer

Now with img2img support

About

This model is a Cog implementation of exploring Flux.1-Dev LoRAs. This model prioritizes Hugging Face LoRA paths.

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Examples

Under Examples tab, you will find 2 different types of Flux LoRAs

Some are Dreambooth LoRAs like ptx0/flux-dreambooth-lora-r16-dev and lucataco/flux-queso

Some are Style LoRAs like alvdansen/frosting_lane_flux and lucataco/flux-dev-lora

How to run

• If you want to run a Huggingface LoRA, then use that huggingface model path (ex: alvdansen/frosting_lane_flux) for the value of the hf_lora parameter.

• If you want to run a Replicate LoRA that you trained, grab the URL from the finished training, and use that for the value of the hf_lora parameter:

• If you want to use a CivitAI LoRA, simply use the CivitAI URL (ex: https://civitai.com/api/download/models/735262?type=Model&format=SafeTensor)

How to train a LoRA

Check out our official Flux LoRA trainer model

Licensing and commercial use

If you generate images on Replicate with FLUX.1 models and their fine-tunes, then you can use the images commercially.

If you download the weights off Replicate and generate images on your own computer, you can’t use the images commercially.