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1
+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ - zh
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+ base_model:
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+ - shallowdream204/BitDance-14B-16x
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+ pipeline_tag: text-to-image
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+ ---
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+
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+ # BitDance: Scaling Autoregressive Generative Models with Binary Tokens
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+
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+ <p align="center">
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+ <a href="https://bitdance.csuhan.com/">
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+ <img
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+ src="https://img.shields.io/badge/Project-Page-0A66C2?logo=chromewebstore&logoColor=0A66C2"
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+ alt="Project Page"
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+ />
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+ </a>
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+ <a href="https://arxiv.org/abs/2602.14041">
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+ <img
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+ src="https://img.shields.io/badge/arXiv paper-2602.14041-red?logo=arxiv&logoColor=red"
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+ alt="BitDance Paper on arXiv"
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+ />
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+ </a>
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+ <a href="https://github.com/shallowdream204/BitDance">
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+ <img
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+ src="https://img.shields.io/badge/Github-Code-blue?logo=github&logoColor=white"
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+ alt="BitDance GitHub"
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+ />
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+ </a>
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+ <a href="https://huggingface.co/collections/shallowdream204/bitdance">
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+ <img
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+ src="https://img.shields.io/badge/Weights-BitDance-yellow?logo=huggingface&logoColor=yellow"
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+ alt="BitDance Model"
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+ />
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+ </a>
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+ <a href="https://huggingface.co/spaces/shallowdream204/BitDance-14B-64x">
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+ <img
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+ src="https://img.shields.io/badge/Play with BitDance!-Demo-orange?logo=huggingface&logoColor=yellow"
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+ alt="BitDance Demo"
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+ />
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+ </a>
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+ </p>
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+
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+ <p align="center"><img src="https://github.com/shallowdream204/BitDance/raw/main/assets/speed.webp" width=90%"></p>
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+
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+
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+ > [Yuang Ai*](https://shallowdream204.github.io/), [Jiaming Han*](https://csuhan.com/), [Shaobin Zhuang*](https://scholar.google.com/citations?user=PGaDirMAAAAJ), [Weijia Mao](https://scholar.google.com/citations?user=S7bGBmkyNtEC), [Xuefeng Hu](https://xuefenghu.me/), [Ziyan Yang](https://ziyanyang.github.io/), [Zhenheng Yang](https://zhenheny.github.io/), [Huaibo Huang†](https://hhb072.github.io/), [Xiangyu Yue†](https://xyue.io/), [Hao Chen*†‡](https://haochen-rye.github.io/)
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+ >
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+ > <sup>*</sup> Equal Contribution&nbsp;&nbsp;<sup>†</sup> Corresponding Author&nbsp;&nbsp;<sup>‡</sup> Project Lead
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+ >
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+ > For visual generation, discrete autoregressive models often struggle with poor tokenizer reconstruction, difficulties in sampling from large vocabularies, and slow token-by-token generation speeds. We present **BitDance**, which addresses these challenges via a large-vocabulary binary tokenizer, a binary diffusion head for sampling in large discrete space, and a next-patch diffusion paradigm that enables efficient multitoken prediction. BitDance is an open-source discrete autoregressive foundation model with 14B parameters, trained on large-scale multimodal tokens. While maintaining the standard language modeling paradigm for text tokens, BitDance employs a next-patch diffusion paradigm for visual tokens to predict multiple tokens in parallel—up to 64 per step. This unified multimodal framework is simple, scalable, and capable of efficiently generating high-resolution, photorealistic images.
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+
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+ <p align="center"><img src="https://github.com/shallowdream204/BitDance/raw/main/assets/teaser.webp" width="90%"></p>
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+
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+
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+ ## ⚡ Quick Start
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+
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+ 1️⃣ Create Conda Environment and Install Package
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+ ```bash
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+ git clone https://github.com/shallowdream204/BitDance.git
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+ cd BitDance
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+ conda create -n bitdance python=3.11 -y
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+ conda activate bitdance
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+ pip install -r requirements.txt
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+ pip install flash_attn==2.8.2 --no-build-isolation
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+ ```
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+
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+ 2️⃣ Download Model Weights
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+
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+ We offer two models, BitDance-14B-64x and BitDance-14B-16x, which can predict 64 and 16 tokens in parallel at each step, respectively.
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+ | Model | #Token per Step | Step (1024px) | Supported Size | Huggingface |
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+ |:-------:|:----:|:----:|:-----------:|:----:|
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+ | BitDance-14B-64x| 64 | 64 |1024px | [BitDance-14B-64x](https://huggingface.co/shallowdream204/BitDance-14B-64x) |
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+ | BitDance-14B-16x| 16 | 256 |512&1024px | [BitDance-14B-16x](https://huggingface.co/shallowdream204/BitDance-14B-16x) |
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+
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+
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+ ```python
80
+ from huggingface_hub import snapshot_download
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+
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+ save_dir = "models/BitDance-14B-64x"
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+ repo_id = "shallowdream204/BitDance-14B-64x"
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+ cache_dir = save_dir + "/cache"
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+
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+ snapshot_download(cache_dir=cache_dir,
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+ local_dir=save_dir,
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+ repo_id=repo_id,
89
+ local_dir_use_symlinks=False,
90
+ resume_download=True,
91
+ allow_patterns=["*.json", "*.safetensors", "*.bin", "*.py", "*.md", "*.txt"],
92
+ )
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+
94
+ save_dir = "models/BitDance-14B-16x"
95
+ repo_id = "shallowdream204/BitDance-14B-16x"
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+ cache_dir = save_dir + "/cache"
97
+
98
+ snapshot_download(cache_dir=cache_dir,
99
+ local_dir=save_dir,
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+ repo_id=repo_id,
101
+ local_dir_use_symlinks=False,
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+ resume_download=True,
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+ allow_patterns=["*.json", "*.safetensors", "*.bin", "*.py", "*.md", "*.txt"],
104
+ )
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+
106
+ ```
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+
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+ 3️⃣ T2I Inference (check [here](https://github.com/shallowdream204/BitDance/blob/main/modeling/t2i_pipeline.py#L21) for the supported image resolution)
109
+ ```python
110
+ # example_t2i.py
111
+ from modeling.t2i_pipeline import BitDanceT2IPipeline
112
+
113
+ model_path = 'models/BitDance-14B-64x'
114
+ # model_path = 'models/BitDance-14B-16x'
115
+ device = 'cuda'
116
+
117
+ pipe = BitDanceT2IPipeline(model_path=model_path, device=device)
118
+
119
+ prompt = "A close-up portrait in a cinematic photography style, capturing a girl-next-door look on a sunny daytime urban street. She wears a khaki sweater, with long, flowing hair gently draped over her shoulders. Her head is turned slightly, revealing soft facial features illuminated by realistic, delicate sunlight coming from the left. The sunlight subtly highlights individual strands of her hair. The image has a Canon film-like color tone, evoking a warm nostalgic atmosphere."
120
+
121
+ image = pipe.generate(
122
+ prompt=prompt,
123
+ height=1024,
124
+ width=1024,
125
+ num_sampling_steps=50, # may adjust to 25 steps for faster inference, but may slightly reduce quality
126
+ guidance_scale=7.5,
127
+ num_images=1,
128
+ seed=42
129
+ )[0]
130
+
131
+ image.save("example.png")
132
+ ```
133
+
134
+ ## 🤗 Demo
135
+
136
+ 🔥 Try the Huggingface Space demo to start playing with BitDance: [BitDance-Demo](https://huggingface.co/spaces/shallowdream204/BitDance-14B-64x)
137
+
138
+ You can also run the demo locally:
139
+ ```bash
140
+ python app.py
141
+ ```
142
+
143
+ ## 📊 Model Performance
144
+ <div style="overflow-x: auto; margin-bottom: 16px;">
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+ <table style="border-collapse: collapse; width: 100%;">
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+ <thead>
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+ <tr>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa;" rowspan="2">Model</th>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa;" rowspan="2">Open Source</th>
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+ <!-- DPG-Bench 移动到这里 -->
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa;" rowspan="2">DPG-Bench</th>
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+ <!-- 新增 GenEval 列 -->
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa;" rowspan="2">GenEval</th>
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+ <th style="padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;" colspan="2">OneIG-Bench</th>
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+ <th style="padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;" colspan="2">TIIF-Bench</th>
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+ </tr>
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+ <tr>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;">EN</th>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;">ZH</th>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;">short</th>
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+ <th style="white-space: nowrap; padding: 8px; border: 1px solid #d0d7de; background-color: #f6f8fa; text-align: center;">long</th>
162
+ </tr>
163
+ </thead>
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+ <tbody>
165
+ <tr>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">GPT Image 1</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✗</td>
168
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">85.15</td>
169
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.84</td>
170
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.533</td>
171
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.474</td>
172
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">89.15</td>
173
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">88.29</td>
174
+ </tr>
175
+ <tr>
176
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Seedream 3.0</td>
177
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✗</td>
178
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">88.27</td>
179
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.84</td>
180
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.530</td>
181
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.528</td>
182
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">86.02</td>
183
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">84.31</td>
184
+ </tr>
185
+ <tr>
186
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Qwen-Image</td>
187
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
188
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">88.32</td>
189
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.87</td>
190
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.539</td>
191
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.548</td>
192
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">86.14</td>
193
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">86.83</td>
194
+ </tr>
195
+ <tr>
196
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Z-Image</td>
197
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
198
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">88.14</td>
199
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.84</td>
200
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.546</td>
201
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.535</td>
202
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">80.20</td>
203
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">83.01</td>
204
+ </tr>
205
+ <tr>
206
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Z-Image-Turbo</td>
207
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
208
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">84.86</td>
209
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.82</td>
210
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.528</td>
211
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.507</td>
212
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">77.73</td>
213
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">80.05</td>
214
+ </tr>
215
+ <tr>
216
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">FLUX.1 [Dev]</td>
217
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
218
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">83.84</td>
219
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.66</td>
220
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.434</td>
221
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
222
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">71.09</td>
223
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">71.78</td>
224
+ </tr>
225
+ <tr>
226
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">BAGEL</td>
227
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
228
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">85.07</td>
229
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.88</td>
230
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.361</td>
231
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.370</td>
232
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">71.50</td>
233
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">71.70</td>
234
+ </tr>
235
+ <tr>
236
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Infinity</td>
237
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
238
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">83.46</td>
239
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.73</td>
240
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
241
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
242
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">62.07</td>
243
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">62.32</td>
244
+ </tr>
245
+ <tr>
246
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Janus-Pro</td>
247
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
248
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">84.19</td>
249
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.80</td>
250
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.267</td>
251
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.240</td>
252
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">66.50</td>
253
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">65.01</td>
254
+ </tr>
255
+ <tr>
256
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">Show-o2</td>
257
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
258
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">86.14</td>
259
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.76</td>
260
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.308</td>
261
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
262
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">59.72</td>
263
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">58.86</td>
264
+ </tr>
265
+ <tr>
266
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">NextStep-1</td>
267
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
268
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">85.28</td>
269
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.73</td>
270
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.418</td>
271
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
272
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
273
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
274
+ </tr>
275
+ <tr>
276
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;">GLM-Image</td>
277
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
278
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">84.78</td>
279
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">-</td>
280
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.528</td>
281
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.511</td>
282
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">81.01</td>
283
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">81.02</td>
284
+ </tr>
285
+ <tr>
286
+ <td style="padding: 8px; border: 1px solid #d0d7de; white-space:nowrap;font-weight:bold;">BitDance</td>
287
+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">✓</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">88.28</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.86</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.532</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">0.512</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">79.64</td>
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+ <td style="padding: 8px; border: 1px solid #d0d7de; text-align: center;">78.12</td>
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+ </tr>
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+ </tbody>
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+ </table>
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+ </div>
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+
299
+
300
+ ## 🪪 License
301
+
302
+ BitDance is licensed under the Apache 2.0 license.
303
+
304
+ ## 📖 Citation
305
+ If you find our work useful for your research, please consider citing our paper:
306
+ ```bibtex
307
+ @article{ai2026bitdance,
308
+ title = {BitDance: Scaling Autoregressive Generative Models with Binary Tokens},
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+ author = {Ai, Yuang and Han, Jiaming and Zhuang, Shaobin and Hu, Xuefeng and Yang, Ziyan and Yang, Zhenheng and Huang, Huaibo and Yue, Xiangyu and Chen, Hao},
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+ journal = {arXiv preprint arXiv:2602.14041},
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+ year = {2026}
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+ }
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+ ```
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