Control FLUX.2 with Reference Images Instead of LoRA
Use the HuggingFace demo to steer FLUX.2 outputs with reference images without fine‑tuning.
Try the demo with your own reference images to explore reference‑guided generation.
Summary
A HuggingFace demo built by multimodalart implements the paper "Follow the Mean: Reference‑Guided Flow Matching". It uses a frozen FLUX.2‑klein model and allows users to steer output color, style, or structure by providing a few reference images. No LoRA, no fine‑tuning, no training, and no rewards are required.
The same prompt and seed produce different outputs when reference images are swapped, enabling rapid experimentation. The demo is hosted on HuggingFace Spaces, and the code and examples are available online for users to explore.
This approach offers a lightweight alternative to LoRA training for reference‑guided generation.
Key changes
- Demo built by multimodalart for paper "Follow the Mean: Reference‑Guided Flow Matching".
- Provides frozen FLUX.2‑klein model.
- Users supply a few reference images to steer color, style, or structure.
- No LoRA, no fine‑tuning, no training, no rewards required.
- Same prompt and seed produce different outputs when reference images change.
- Demo hosted on HuggingFace Spaces: https://huggingface.co/spaces/multimodalart/follow-the-mean.
- Code and examples available at https://pedrocurvo.com/follow-the-mean.
- Enables rapid experimentation with reference‑guided generation.