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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[AAAI 2025] Official codes of "ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models".
| Date | Stars |
|---|---|
| 2026-07-31 | 760 |
| 2026-08-04 | 759 |
| 2026-08-06 | 759 |
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<div align="center">
<h1> ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models </h1>
Jiaxiang Cheng, Pan Xie*, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Min Zheng, Lean Fu (*Corresponding author)
ByteDance Inc.
⭐ If ResAdapter is helpful to your images or projects, please help star this repo. Thanks! 🤗
<a href='https://res-adapter.github.io/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
<a href='https://arxiv.org/abs/2403.02084'><img src='https://img.shields.io/badge/ Paper-Arxiv-red'></a>
<a href='https://huggingface.co/papers/2403.02084'><img src='https://img.shields.io/badge/ Paper-Huggingface-blue'></a>
[](https://huggingface.co/spaces/jiaxiangc/res-adapter)
[](https://replicate.com/bytedance/res-adapter)
[](https://github.com/jiaxiangc/ComfyUI-ResAdapter)
**We propose ResAdapter, a plug-and-play resolution adapter for enabling any diffusion model generate resolution-free images: no additional training, no additional inference and no style transfer.**
<img src="assets/misc/dreamlike1.png" width="49.9%"><img src="assets/misc/dreamlike2.png" width="50%">
Comparison examples between resadapter and [dreamlike-diffusion-1.0](https://civitai.com/models/1274/dreamlike-diffusion-10).
</div>
## Release
- `[2024/12/10]` 🎉 ResAdapter is accepted by AAAI 2025.
- `[2024/04/07]` 🔥 We release the official [gradio space](https://huggingface.co/spaces/jiaxiangc/res-adapter) in Huggingface.
- `[2024/04/05]` 🔥 We release the [resadapter_v2 weights](https://huggingface.co/jiaxiangc/res-adapter).
- `[2024/03/30]` 🔥 We release the [ComfyUI-ResAdapter](https://github.com/jiaxiangc/ComfyUI-ResAdapter).
- `[2024/03/28]` 🔥 We release the [resadapter_v1 weights](https://huggingface.co/jiaxiangc/res-adapter).
- `[2024/03/04]` 🔥 We release the [arxiv paper](https://arxiv.org/abs/2403.02084).
<!-- - `[2024/03/12]` Code: 🔥 we release the [inference code](https://github.com/bytedance/res-adapter/blob/main/main.py). -->
## Quicktour
We provide a standalone [example code](quicktour.py) to help you quickly use resadapter with diffusion models.
<div align=center>
<img src="assets/misc/dreamshaper_resadapter.png" width="100%">
<img src="assets/misc/dreamshaper_baseline.png" width="100%">
Comparison examples (640x384) between resadapter and [dreamshaper-xl-1.0](https://huggingface.co/Lykon/dreamshaper-xl-1-0). Top: with resadapter. Bottom: without resadapter.
</div>
```python
# pip install diffusers, transformers, accelerate, safetensors, huggingface_hub
import torch
from torchvision.utils import save_image
from safetensors.torch import load_file
from huggingface_hub import hf_hub_download
from diffusers import AutoPipelineForText2Image, DPMSolverMultistepScheduler
generator = torch.manual_seed(0)
prompt = "portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors"
width, height = 640, 384
# Load baseline pipe
model_name = "lykon-models/dreamshaper-xl-1-0"
pipe = AutoPipelineForText2Image.from_pretrained(model_name, torch_dtype=torch.float16, variant="fp16").to("cuda")
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++")
# Inference baseline pipe
image = pipe(prompt, width=width, height=height, num_inference_steps=25, num_images_per_prompt=4, output_type="pt").images
save_image(image, f"image_baseline.png", normalize=True, padding=0)
# Load resadapter for baseline
resadapter_model_name = "resadapter_v1_sdxl"
pipe.load_lora_wExcerpt of 15,055 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c304df3bd554c09e, name:adapter, desc:adapter