v0

Author: SempraETY

README.md

@@ -1 +1,134 @@
-# APEX
+<h1 align="center"><sub><sup>Self-Adversarial One Step Generation via Condition Shifting</sup></sub></h1>
+
+<p align="center">
+  <a href="https://zhenglin-cheng.com/" target="_blank">Deyuan&nbsp;Liu</a><sup>*</sup> &ensp; <b>&middot;</b> &ensp;
+  <a href="https://scholar.google.com/citations?user=-8XvRRIAAAAJ" target="_blank">Peng&nbsp;Sun</a><sup>*</sup> &ensp; <b>&middot;</b> &ensp;
+  <a target="_blank">Yansen&nbsp;Han</a> &ensp; <b>&middot;</b> &ensp;
+  <a href="https://zhenglin-cheng.com/" target="_blank">Zhenglin&nbsp;Cheng</a> &ensp; <b>&middot;</b> &ensp;
+  <a target="_blank">Chuyan&nbsp;Chen</a> &ensp; <b>&middot;</b> &ensp;
+  <a href="https://lins-lab.github.io/" target="_blank">Tao&nbsp;Lin</a>
+</p>
+
+<div align="center">
+
+[![Github Repo](https://img.shields.io/badge/LINs--lab%2FAPEX-black?logo=github)](https://github.com/LINs-lab/APEX)&#160;
+[![Github Repo](https://img.shields.io/badge/inclusionAI%2FTwinFlow-black?logo=github)](https://github.com/inclusionAI/TwinFlow)&#160;
+<a href="https://arxiv.org/abs/2604.xxxxx" target="_blank"><img src="https://img.shields.io/badge/Paper-b5212f.svg?logo=arxiv" height="21px"></a>
+[![WeChat](https://img.shields.io/badge/WeChat-green?logo=wechat&amp&color=white)](./assets/wechat.png)
+
+</div>
+
+**Join the WeChat Group, feel free to reach out anytime if you have any questions!👇**
+
+<p>👇 WeChat Group QR Code/微信群二维码 👇</p>
+
+- Technical Discussion Group 1 is full, please join Technical Discussion Group 2
+
+| Technical Discussion Group/技术讨论群 | Model Users Discussion Group/AIGC模型使用讨论群 |
+|----------------------------|------------------------------------------|
+| <img src="./assets/wechat.png" style="width: 70%;" /> | <img src="./assets/wechat2.png" style="width: 70%;" /> |
+
+</details>
+
+## 🧭 Table of Contents
+
+- [🔥 Codebase Usage 🔥](src/README.md)
+
+## 📰 News
+
+- We release experimental version of faster Z-Image-Turbo!
+
+## 💪 Open-source Plans
+
+- [x] Release faster experimental version of Z-Image-Turbo.
+- [ ] Release APEX-v0 version of Z-Image.
+- [ ] Release APEX-v0 version of Qwen-Image-2512.
+- [ ] Release large-scale training code.
+
+## APEX
+
+### APEX-Qwen-Image-2512 Visualization
+
+<div align="center">
+  <img src="assets/apex.jpg" width="1000" />
+  <p style="margin-top: 8px; font-size: 14px; color: #666; font-weight: bold;">
+    2-NFE visualization of Qwen-Image-2512
+  </p>
+</div>
+
+
+### Inference Demo
+
+**For ComfyUI users, please see https://github.com/smthemex/ComfyUI_TwinFlow.**
+
+Install the latest diffusers:
+
+```bash
+pip install git+https://github.com/huggingface/diffusers
+```
+
+Run inference demo `inference.py`:
+
+```python
+python inference.py
+```
+
+We recommend to sample for 2~4 NFEs:
+
+```python
+# 4 NFE config
+sampler_config = {
+    "sampling_steps": 4,
+    "stochast_ratio": 1.0,
+    "extrapol_ratio": 0.0,
+    "sampling_order": 1,
+    "time_dist_ctrl": [1.0, 1.0, 1.0],
+    "rfba_gap_steps": [0.001, 0.5],
+}
+
+# 2 NFE config
+sampler_config = {
+    "sampling_steps": 2,
+    "stochast_ratio": 1.0,
+    "extrapol_ratio": 0.0,
+    "sampling_order": 1,
+    "time_dist_ctrl": [1.0, 1.0, 1.0],
+    "rfba_gap_steps": [0.001, 0.6],
+}
+```
+
+## 📖 Citation
+
+```bibtex
+@article{cheng2025twinflow,
+  title={TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows},
+  author={Cheng, Zhenglin and Sun, Peng and Li, Jianguo and Lin, Tao},
+  journal={arXiv preprint arXiv:2512.05150},
+  year={2025}
+}
+
+@misc{sun2025anystep,
+  author = {Sun, Peng and Lin, Tao},
+  note   = {GitHub repository},
+  title  = {Any-step Generation via N-th Order Recursive Consistent Velocity Field Estimation},
+  url    = {https://github.com/LINs-lab/RCGM},
+  year   = {2025}
+}
+
+@article{sun2025unified,
+  title = {Unified continuous generative models},
+  author = {Sun, Peng and Jiang, Yi and Lin, Tao},
+  journal = {arXiv preprint arXiv:2505.07447},
+  year = {2025},
+  url = {https://arxiv.org/abs/2505.07447},
+  archiveprefix = {arXiv},
+  eprint = {2505.07447},
+  primaryclass = {cs.LG}
+}
+```
+
+## 🤗 Acknowledgement
+
+APEX is built upon [TwinFlow](https://github.com/inclusionAI/TwinFlow), [RCGM](https://github.com/LINs-lab/RCGM) and [UCGM](https://github.com/LINs-lab/UCGM), with much support from [InclusionAI](https://github.com/inclusionAI).
+
+Note: The [LINs Lab](https://lins-lab.github.io/) has openings for PhD students for the Fall 2026/2027 intake. Interested candidates are encouraged to reach out.