license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Text-to-Image
- IP-Adapter
- Flux.1-dev
- image-generation
- Stable Diffusion
base_model: black-forest-labs/FLUX.1-dev
FLUX.1-dev-IP-Adapter
This repository contains a IP-Adapter for FLUX.1-dev model released by researchers from InstantX Team, where image work just like text, so it may not be responsive or interfere with other text, but we do hope you enjoy this model, have fun and share your creative works with us on Twitter.
Model Card
This is a regular IP-Adapter, where the new layers are added into 38 single and 19 double blocks. We use google/siglip-so400m-patch14-384 to encode image for its superior performance, and adopt a simple MLPProjModel of 2 linear layers to project. The image token number is set to 128. The currently released model is trained on the 10M open source dataset with a batch size of 128 and 80K training steps.
Showcases
Showcases (LoRA)
We adopt Shakker-Labs/FLUX.1-dev-LoRA-collections as a character LoRA and use its default prompt.
Inference
# TODO
Limitations
This model supports image reference, but is not for fine-grained style transfer or character consistency, which means that there exists a trade-off between content leakage and style transfer. We don't find similar properties in FLUX.1-dev (DiT-based) as in InstantStyle (UNet-based). It may take several attempts to get satisfied results. Furthermore, current released model may suffer from limited diversity, thus cannot cover some styles or concepts,
License
The model is released under flux-1-dev-non-commercial-license. All copyright reserved.
Acknowledgements
This project is sponsored by HuggingFace and fal.ai.
Citation
If you find this project useful in your research, please cite us via
@misc{flux-ipa,
author = {InstantX Team},
title = {InstantX FLUX.1-dev IP-Adapter Page},
year = {2024},
}