This is a
Redux
adapter trained from scratch on
Flex.1-alpha
, however, it will also work with
FLUX.1-dev
. The main advantages of this adapter over the original are:
Better Vision Encoder
: The original Redux by BFL uses
siglip-so400m-patch14-384
. This adapter uses
siglip2-so400m-patch16-512
, which is newer and has an increased resolution of 512x512. This allows for better image quality and more detail in the generated images.
Apache 2.0 License
: Since this vision encoder was trained from scratch on Flex.1-alpha, it can be licensed under the Apache 2.0 license. This means that you can use it for commercial purposes without any restrictions.
The Vision Encoder
Flex Redux uses the latest SigLIP2 vision encoder at a resolution of 512x512. This allows the vision encoder to see more fine details in the images.
Put the flex1_redux_siglip2_512.safetensors file in this repo in ComfyUI/models/style_models/ . There is also a workflow named flex-redux-workflow.json to get you started.
Fine tune it!
This adapter was 100% trained with
AI Toolkit
on a single 3090 over the course of a few weeks. Which means you can fine tune it, or train your own, on consumer hardware.
Check out the example config
to get started.
Support My Work
If you enjoy my work, or use it for commercial purposes, please consider sponsoring me so I can continue to maintain it. Every bit helps!
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