--- license: apache-2.0 tags: - Flex base_model: - ostris/Flex.1-alpha --- # Flex.1-alpha 512 Redux Adapter Flex.1 Redux Comfy ## Overview This is a [Redux](https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev) adapter trained from scratch on [Flex.1-alpha](https://huggingface.co/ostris/Flex.1-alpha), however, it will also work with [FLUX.1-dev](https://huggingface.co/black-forest-labs/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](https://huggingface.co/google/siglip-so400m-patch14-384). This adapter uses [siglip2-so400m-patch16-512](https://huggingface.co/google/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. Compare blip sizes ## ComfyUI You will need this custom node. https://github.com/ostris/ComfyUI-Advanced-Vision and the siglip2 vision encoder here https://huggingface.co/ostris/ComfyUI-Advanced-Vision/blob/main/clip_vision/siglip2_so400m_patch16_512.safetensors . Put that inside your ComfyUI/models/clip_vision/ folder. If you don't have [Flex.1-alpha](https://huggingface.co/ostris/Flex.1-alpha), you can pick it up here https://huggingface.co/ostris/Flex.1-alpha/blob/main/Flex.1-alpha.safetensors . Put that in ComfyUI/models/checkpoints/. You can also use [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) if you prefer. 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](https://github.com/ostris/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](https://github.com/ostris/ai-toolkit/blob/main/config/examples/train_flex_redux.yaml) 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! [Become a sponsor on GitHub](https://github.com/orgs/ostris) or [support me on Patreon](https://www.patreon.com/ostris). Thank you to all my current supporters! _Last updated: 2025-04-04_ ### GitHub Sponsors josephrocca Replicate Weights ### Patreon Supporters Aaron Amortegui Abraham Irawan Al H Albert Bukoski Armin Behjati Arvin Flores Austin Robinson Ben Ward Bharat Prabhakar Bnp clement Delangue Cosmosis David Garrido Doron Adler Eli Slugworth EmmanuelMr18 Fagem X George Gostyshev Gili Ben Shahar HestoySeghuro . Jack Blakely Jack English Jason Jean-Tristan Marin Jodh Singh John Dopamine Joseph Rocca Julian Tsependa Kasım Açıkbaş Kelevra Kristjan Retter L D Lukas Marko jak Michael Levine Miguel Lara Misch Strotz Mohamed Oumoumad nitish PNR Noctre Patron Plaidam Prasanth Veerina RayHell Steve Hanff Steven Simmons Sören the biitz The Local Lab Trent Hunter Ultimate Golf Archives Un Defined Vladimir Sotnikov Wesley Reitzfeld william tatum Zack Abrams Zoltán-Csaba Nyiró Алексей Наумов עומר מכלוף ---