---
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](https://huggingface.co/InstantX), 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](https://x.com/instantx_ai).

# 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](https://huggingface.co/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

<div class="container">
  <img src="./assets/teasers/0.png" width="1024"/>
  <img src="./assets/teasers/1.png" width="1024"/>
  <img src="./assets/teasers/2.png" width="1024"/>
  <img src="./assets/teasers/3.png" width="1024"/>
  <img src="./assets/teasers/4.png" width="1024"/>
  <img src="./assets/teasers/5.png" width="1024"/>
  <img src="./assets/teasers/6.png" width="1024"/>
  <img src="./assets/teasers/7.png" width="1024"/>
  <img src="./assets/teasers/8.png" width="1024"/>
</div>

# Showcases (LoRA)
We adopt [Shakker-Labs/FLUX.1-dev-LoRA-collections](https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-collections) as a character LoRA and use its default prompt.

<div class="container">
  <img src="./assets/teasers/9.png" width="1024"/>
</div>

# Inference
The code has not been integrated into diffusers yet, please use our local files at this moment.
```python
import os
from PIL import Image

import torch
import torch.nn as nn

from pipeline_flux_ipa import FluxPipeline
from transformer_flux import FluxTransformer2DModel
from attention_processor import IPAFluxAttnProcessor2_0
from transformers import AutoProcessor, SiglipVisionModel

from infer_flux_ipa_siglip import resize_img, MLPProjModel, IPAdapter

image_encoder_path = "google/siglip-so400m-patch14-384"
ipadapter_path = "./ip-adapter.bin"
    
transformer = FluxTransformer2DModel.from_pretrained(
    "black-forest-labs/FLUX.1-dev", subfolder="transformer", torch_dtype=torch.bfloat16
)

pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev", transformer=transformer, torch_dtype=torch.bfloat16
)

ip_model = IPAdapter(pipe, image_encoder_path, ipadapter_path, device="cuda", num_tokens=128)

image_dir = "./assets/images/2.jpg"
image_name = image_dir.split("/")[-1]
image = Image.open(image_dir).convert("RGB")
image = resize_img(image)

prompt = "a young girl"
    
images = ip_model.generate(
    pil_image=image, 
    prompt=prompt,
    scale=0.7,
    width=960, height=1280,
    seed=42
)

images[0].save(f"results/{image_name}")
```

# 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](https://instantstyle.github.io/) (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,

<div class="container">
  <img src="./assets/teasers/10.png" width="1024"/>
</div>

# License
The model is released under [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). All copyright reserved.

# Acknowledgements
This project is sponsored by [HuggingFace](https://huggingface.co/) and [fal.ai](https://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},
}
```