Instructions to use Runware/Flex-Redux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Flex-Redux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/Flex-Redux", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| Input Image | Original FLUX Redux | SigLIP2-Enhanced |
|---|---|---|
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Flex.1-alpha-Redux [dev] โ Enhanced with SigLIP-2
Flex.1-alpha-Redux [dev] is an adapter for all FLUX.1 base models for image variation generation. Given an input image, Flex.1 Redux can reproduce the image with slight variation, allowing for refined visual generation. It integrates naturally into more complex workflows, enabling image restyling and editing via text.
This version of Redux has been updated with modules from SigLIP2 replacing the following components:
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