Fengyi Fu*,
Mengqi Huang*,✉,
Shaojin Wu*,
Yunsheng Jiang*,
Yufei Huo,
Jianzhu Guo✉,§
Hao Li,
Yinghang Song,
Fei Ding,
Qian He,
Zheren Fu,
Zhendong Mao,
Yongdong Zhang
ByteDance
* 共同一作
✉ 通讯作者
§ 项目负责人
English | 简体中文
Lance 是一个轻量级、原生统一的多模态模型,在单一框架下同时支持 图像与视频的理解、生成和编辑。
问题: Is the largest segment greater than sum of all the other segments? 回答: Yes, the largest segment in the pie chart is the blue one, which is the most populous segment. |
问题: What percentage of respondents want better border security? 回答: 29% |
问题: What is the license plate number of the car? 回答: The license plate number of the car is BX62 BFY. |
问题: According to the data from the proprietary market research, how much amount was spent on the promotional meetings and events during 1998? 回答: According to the data from the proprietary market research, the total amount spent on the promotional meetings and events during 1998 was approximately $1.3 billion. |
问题: What is the appearance of the Colosseum in Rome, Italy? 回答: The Colosseum in Rome, Italy is a magnificent ancient amphitheater made of stone and concrete. It is characterized by its large, arched openings and its semi-circular shape. The Colosseum has been partially restored, and its original color has faded, but the architectural details, like the columns and the semi-circular arches, are still visible. The lighting in the image highlights the grandeur and historical significance of the Colosseum, making it stand out against the backdrop of the evening sky. |
问题: How does a total solar eclipse look like from Earth? 回答: A total solar eclipse looks like a dark circle with a bright, white outer edge. This is a result of the Earth's rotation and the Earth's shadow, which partially obscures the sun's light. The bright white edge of the eclipse is caused by the sun's high energy and its interaction with the Earth's atmosphere, while the dark part of the eclipse is due to the Earth's shadow and the surrounding air currents. The solar eclipse's shape, with its bright white edge and dark center, is similar to the shape of a full moon or a dark disk. It is a natural phenomenon that occurs in the atmosphere of the Earth and is an important part of the solar system. |
bash ./setup_env.sh请从 Lance-3B(HuggingFace 链接) 下载所需的全部模型权重,并放置到 downloads/ 目录下。
Lance 为生成、编辑和理解任务提供了统一的命令行入口:
bash inference_lance.shinference_lance.sh 顶部配置推理参数。t2i、t2v、image_edit、video_edit、x2t_image 和 x2t_video。你也可以在 inference_lance.py 中修改 TASK_DEFAULT_CONFIGS,自定义每个任务默认使用的数据样例。prompt 格式,这通常有助于获得更好的生成效果。我们提供了面向不同生成、编辑和理解任务的一键启动命令,便于快速运行指定任务类型。
bash inference_lance.sh \
--TASK_NAME t2v \
--MODEL_PATH downloads/Lance_3B_Video \
--RESOLUTION video_480p \
--NUM_FRAMES 121 \
--VIDEO_HEIGHT 480 \
--VIDEO_WIDTH 848 \
--SAVE_PATH_GEN results/t2v_121fbash inference_lance.sh \
--TASK_NAME t2i \
--MODEL_PATH downloads/Lance_3B \
--RESOLUTION image_768res \
--VIDEO_HEIGHT 768 \
--VIDEO_WIDTH 768 \
--SAVE_PATH_GEN results/t2ibash inference_lance.sh \
--TASK_NAME video_edit \
--MODEL_PATH downloads/Lance_3B_Video \
--RESOLUTION video_480p \
--SAVE_PATH_GEN results/video_editbash inference_lance.sh \
--TASK_NAME image_edit \
--MODEL_PATH downloads/Lance_3B \
--RESOLUTION image_768res \
--SAVE_PATH_GEN results/image_editbash inference_lance.sh \
--TASK_NAME x2t_video \
--MODEL_PATH downloads/Lance_3B_Video \
--RESOLUTION video_480p \
--NUM_FRAMES 50 \
--SAVE_PATH_GEN results/x2t_videobash inference_lance.sh \
--TASK_NAME x2t_image \
--MODEL_PATH downloads/Lance_3B \
--RESOLUTION image_768res \
--SAVE_PATH_GEN results/x2t_image| 任务名 | 说明 | 示例 JSON |
|---|---|---|
t2v | 文生视频 | config/examples/t2v_example.json |
t2i | 文生图 | config/examples/t2i_example.json |
image_edit | 图像编辑 | config/examples/image_edit_example.json |
video_edit | 视频编辑 | config/examples/video_edit_example.json |
x2t_image | 图像理解 | config/examples/x2t_image_example.json |
x2t_video | 视频理解 | config/examples/x2t_video_example.json |
关于理解任务的示例文件:
config/examples/x2t_image_example.json:用于图像理解示例,包括视觉问答和基于图像的推理。config/examples/x2t_video_example.json:用于视频理解示例,包括视频问答和视频描述。你可以在 inference_lance.sh 顶部配置以下超参数:
| 参数 | 默认值 | 说明 |
|---|---|---|
MODEL_PATH | "downloads/lance_3b" | 下载后的 Lance 模型权重路径。 |
NUM_GPUS | 1 | 用于推理的 GPU 数量。 |
VALIDATION_NUM_TIMESTEPS | 30 | 去噪步数(例如 30 或 50)。 |
VALIDATION_TIMESTEP_SHIFT | 3.5 | Flow matching 调度中的 timestep shift 参数。 |
CFG_TEXT_SCALE | 4.0 | 文本条件的 CFG(Classifier-Free Guidance)系数。 |
VALIDATION_DATA_SEED | 42 | 用于复现实验的随机种子。 |
NUM_FRAMES | 50 | 视频生成帧数(最大 121)。图像任务不使用该参数。 |
VIDEO_HEIGHT / VIDEO_WIDTH | 768 | 空间分辨率。编辑任务不使用该参数(由输入图像/视频决定)。 |
RESOLUTION | "video_480p" | 基础分辨率预设(如 image_768res 或 video_480p)。 |
python lance_gradio_t2v_v2t.py --gpus 0 --server-port 7860| 模型 | # Params. | Global | Entity | Attribute | Relation | Other | Overall |
|---|---|---|---|---|---|---|---|
| 仅生成模型 | |||||||
| SDXL | 3.5B | 83.27 | 82.43 | 80.91 | 86.76 | 80.41 | 74.65 |
| DALL-E 3 | - | 90.97 | 89.61 | 88.39 | 90.58 | 89.83 | 83.50 |
| SD3-Medium | 2B | 87.90 | 91.01 | 88.83 | 80.70 | 88.68 | 84.08 |
| FLUX.1-dev | 12B | 74.35 | 90.00 | 88.96 | 90.87 | 88.33 | 83.84 |
| Qwen-Image | 20B | 91.32 | 91.56 | 92.02 | 94.31 | 92.73 | 88.32 |
| 统一模型 | |||||||
| Janus-Pro-7B | 7B | 86.90 | 88.90 | 89.40 | 89.32 | 89.48 | 84.19 |
| OmniGen2 | 4B | 88.81 | 88.83 | 90.18 | 89.37 | 90.27 | 83.57 |
| Show-o2 | 7B | 89.00 | 91.78 | 89.96 | 91.81 | 91.64 | 86.14 |
| BAGEL† | 7B | 88.94 | 90.37 | 91.29 | 90.82 | 88.67 | 85.07 |
| InternVL-U | 1.7B | 90.39 | 90.78 | 90.68 | 90.29 | 88.77 | 85.18 |
| TUNA | 7B | 90.42 | 91.68 | 90.94 | 91.87 | 90.73 | 86.76 |
| TUNA-2 | 7B | 89.50 | 91.40 | 92.07 | 91.91 | 88.81 | 86.54 |
| 🌟 Lance (Ours) | 3B | 83.89 | 91.07 | 89.36 | 93.38 | 80.80 | 84.67 |
† 表示该方法在生成前使用 LLM rewriter 进行 prompt rewriting。
| 模型 | # Params. | 1-Obj. | 2-Obj. | Count | Colors | Position | Attr. | Overall |
|---|---|---|---|---|---|---|---|---|
| 仅生成模型 | ||||||||
| SDXL | 3.5B | 0.98 | 0.74 | 0.39 | 0.85 | 0.15 | 0.23 | 0.55 |
| DALL-E 3 | - | 0.96 | 0.87 | 0.47 | 0.83 | 0.43 | 0.45 | 0.67 |
| SD3-Medium | 2B | 0.99 | 0.94 | 0.72 | 0.89 | 0.33 | 0.60 | 0.74 |
| FLUX.1-dev | 12B | 0.98 | 0.93 | 0.75 | 0.93 | 0.68 | 0.65 | 0.82 |
| Qwen-Image | 20B | 0.99 | 0.92 | 0.89 | 0.88 | 0.76 | 0.77 | 0.87 |
| 统一模型 | ||||||||
| Janus-Pro-7B | 7B | 0.99 | 0.89 | 0.59 | 0.90 | 0.79 | 0.66 | 0.80 |
| OmniGen2 | 4B | 1.00 | 0.95 | 0.64 | 0.88 | 0.55 | 0.76 | 0.80 |
| Show-o2 | 7B | 1.00 | 0.87 | 0.58 | 0.92 | 0.52 | 0.62 | 0.76 |
| BAGEL† | 7B | 0.98 | 0.95 | 0.84 | 0.95 | 0.78 | 0.77 | 0.88 |
| Mogao | 7B | 1.00 | 0.97 | 0.83 | 0.93 | 0.84 | 0.80 | 0.89 |
| InternVL-U | 1.7B | 0.99 | 0.94 | 0.74 | 0.91 | 0.77 | 0.74 | 0.85 |
| TUNA | 7B | 1.00 | 0.97 | 0.81 | 0.91 | 0.88 | 0.83 | 0.90 |
| TUNA-2 | 7B | 0.99 | 0.96 | 0.80 | 0.91 | 0.84 | 0.76 | 0.87 |
| 🌟 Lance (Ours) | 3B | 1.00 | 0.94 | 0.84 | 0.97 | 0.87 | 0.81 | 0.90 |
† 表示该方法在生成前使用 LLM rewriter 进行 prompt rewriting。
| 模型 | # Params. | BC | CA | MM | MC | PB | ST | SA | SR | SRp | TM | TT | Avg/G_O |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 仅生成模型 | |||||||||||||
| Gemini 2.0 | - | - | - | - | - | - | - | - | - | - | - | - | 6.32 |
| GPT Image 1 | - | 6.96 | 6.85 | 7.10 | 5.41 | 6.74 | 7.44 | 7.51 | 8.73 | 8.55 | 8.45 | 8.69 | 7.49 |
| Qwen-Image-Edit | 20B | 8.23 | 8.30 | 7.33 | 8.05 | 7.49 | 6.74 | 8.57 | 8.09 | 8.29 | 8.48 | 8.50 | 8.01 |
| 统一模型 | |||||||||||||
| Lumina-DiMOO | 8B | 3.43 | 4.27 | 3.08 | 2.77 | 4.74 | 5.19 | 4.44 | 3.80 | 4.38 | 2.68 | 4.20 | 3.91 |
| Ovis-U1 | 1.2B | 7.49 | 6.88 | 6.21 | 4.79 | 5.98 | 6.46 | 7.49 | 7.25 | 7.27 | 4.48 | 6.31 | 6.42 |
| BAGEL | 7B | 7.32 | 6.91 | 6.38 | 4.75 | 4.57 | 6.15 | 7.90 | 7.16 | 7.02 | 7.32 | 6.22 | 6.52 |
| InternVL-U | 1.7B | 7.08 | 7.05 | 6.38 | 7.02 | 6.03 | 6.27 | 7.13 | 6.55 | 6.33 | 6.59 | 6.85 | 6.66 |
| InternVL-U (w/ CoT) | 1.7B | 7.05 | 7.87 | 6.50 | 6.99 | 5.77 | 6.10 | 7.33 | 7.16 | 7.12 | 7.36 | 6.46 | 6.88 |
| 🌟 Lance (Ours) | 3B | 7.73 | 7.74 | 7.28 | 7.83 | 7.50 | 7.03 | 7.64 | 7.85 | 7.71 | 4.46 | 7.57 | 7.30 |
| 类型 | Model | # Params. | Total Score ↑ |
|---|---|---|---|
| Gen. Only | ModelScope | 1.7B | 75.75 |
| LaVie | 3B | 77.08 | |
| Show-1 | 6B | 78.93 | |
| AnimateDiff-V2 | - | 80.27 | |
| VideoCrafter-2.0 | - | 80.44 | |
| CogVideoX | 5B | 81.61 | |
| Kling | - | 81.85 | |
| Open-Sora-2.0 | - | 81.71 | |
| Gen-3 | - | 82.32 | |
| Step-Video-T2V | 30B | 81.83 | |
| Hunyuan Video | - | 83.43 | |
| Wan2.1-T2V | 14B | 83.69 | |
| Unified | HaproOmni | 7B | 78.10 |
| Emu3 | 8B | 80.96 | |
| VILA-U | 7B | 74.01 | |
| Show-o2 | 2B | 81.34 | |
| TUNA | 1.5B | 84.06 | |
| 🌟 Lance (Ours) | 3B | 85.11 |
benchmarks/ 目录下提供了可直接运行的基准评测脚本:
| 基准 | 模态 | 脚本 |
|---|---|---|
| GenEVAL(图像生成) | 图像 | benchmarks/image_gen/GenEVAL/sample_GenEVAL.sh |
| DPG(图像生成) | 图像 | benchmarks/image_gen/DPG/sample_DPG.sh |
| GEdit(图像编辑) | 图像 | benchmarks/image_gen/GEdit/sample_GEdit.sh |
| VBench(视频生成) | 视频 | benchmarks/video_gen/Vbench/sample_vbench.sh |
Copyright 2025 Bytedance Ltd. and/or its affiliates.
感谢 BAGEL、Qwen2.5-VL-3B-Instruct 和 Wan2.2 的贡献者们公开研究成果并推动社区发展。
如果 Lance 对您的项目或研究有帮助,欢迎 🌟 本仓库,并使用以下 BibTeX 引用我们的工作:
@misc{lance2026,
title = {Lance: Unified Multimodal Modeling by Multi-Task Synergy},
author = {Fengyi Fu and Mengqi Huang and Shaojin Wu and Yunsheng Jiang and Yufei Huo and Jianzhu Guo and Hao Li and Yinghang Song and Fei Ding and Qian He and Zheren Fu and Zhendong Mao and Yongdong Zhang},
year = {2026},
note = {Manuscript}
}如有问题、反馈或合作需求,请联系 Mengqi Huang 和 Jianzhu Guo。