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FLUX.1-Schnell LoRA explorer
Now with img2img support
About
This model is a Cog implementation of exploring Flux.1-Schnell LoRAs. his model prioritizes Hugging Face LoRA paths like: “alvdansen/frosting_lane_flux”.
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Examples
Under Examples tab, you will find 2 different types of Flux LoRAs
Some are Object
LoRAs like this AI character Violeta: lucataco/flux-vlta and this dog named Queso: lucataco/flux-queso
Some are Style
LoRAs like this illustration style LoRA alvdansen/frosting_lane_flux
and this watercolor style LoRA lucataco/flux-dev-lora
How to run
-
If you want to run a Huggingface LoRA, then use the huggingface model path (ex:
alvdansen/frosting_lane_flux
) for the value of thehf_lora
parameter. -
If you want to run a Replicate LoRA that you trained, copy 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, use the CivitAI weights URL(ex: https://civitai.com/api/download/models/735262?type=Model&format=SafeTensor) (If the CivitAI LoRA is gated by sign-in access, be sure to add your CivitAI API token at the end of the URL: “&token=<YOUR_API_TOKEN>“)
How to train a LoRA
Check out the Replicate official Flux LoRA trainer
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.