---
license: other
license_name: stabilityai-ai-community
license_link: >-
  https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Text-to-Image
- IP-Adapter
- StableDiffusion3Pipeline
- image-generation
- Stable Diffusion
base_model:
- stabilityai/stable-diffusion-3.5-large
---

# SD3.5-Large-IP-Adapter

This repository contains a IP-Adapter for SD3.5-Large 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 all 38 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 TimeResampler to project. The image token number is set to 64.

# Showcases

<div class="container">
  <img src="./teasers/0.png" width="1024"/>
  <img src="./teasers/1.png" width="1024"/>
</div>

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

from models.transformer_sd3 import SD3Transformer2DModel
from pipeline_stable_diffusion_3_ipa import StableDiffusion3Pipeline

model_path = 'stabilityai/stable-diffusion-3.5-large'
ip_adapter_path = './ip-adapter.bin'
image_encoder_path = "google/siglip-so400m-patch14-384"

transformer = SD3Transformer2DModel.from_pretrained(
    model_path, subfolder="transformer", torch_dtype=torch.bfloat16
)

pipe = StableDiffusion3Pipeline.from_pretrained(
    model_path, transformer=transformer, torch_dtype=torch.bfloat16
).to("cuda")

pipe.init_ipadapter(
    ip_adapter_path=ip_adapter_path, 
    image_encoder_path=image_encoder_path, 
    nb_token=64, 
)

ref_img = Image.open('./assets/1.jpg').convert('RGB')

# please note that SD3.5 Large is sensitive to highres generation like 1536x1536
image = pipe(
    width=1024,
    height=1024,
    prompt='a cat',
    negative_prompt="lowres, low quality, worst quality",
    num_inference_steps=24, 
    guidance_scale=5.0,
    generator=torch.Generator("cuda").manual_seed(42),
    clip_image=ref_img,
    ipadapter_scale=0.5,
).images[0]
image.save('./result.jpg')
```

# License
The model is released under [stabilityai-ai-community](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/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{sd35-large-ipa,
    author = {InstantX Team},
    title = {InstantX SD3.5-Large IP-Adapter Page},
    year = {2024},
}
```