| --- |
| license: apache-2.0 |
| library_name: diffusers |
| pipeline_tag: text-to-image |
| base_model: shallowdream204/BitDance-14B-16x |
| language: |
| - en |
| tags: |
| - bitdance |
| - text-to-image |
| - custom-pipeline |
| - diffusers |
| - qwen |
| --- |
| |
| # BitDance-14B-16x (Diffusers) |
|
|
| Diffusers-converted checkpoint for BitDance-14B-16x with bundled custom pipeline code (`bitdance_diffusers`) so it can be loaded directly with `DiffusionPipeline`. |
|
|
| ## Quickstart (native diffusers) |
|
|
| ```python |
| import torch |
| from diffusers import DiffusionPipeline |
| |
| repo_id = "BiliSakura/BitDance-14B-16x-diffusers" |
| |
| pipe = DiffusionPipeline.from_pretrained( |
| repo_id, |
| trust_remote_code=True, |
| torch_dtype=torch.bfloat16, |
| ).to("cuda") |
| |
| result = pipe( |
| prompt="A cinematic landscape photo of snowy mountains at sunrise.", |
| height=1024, |
| width=1024, |
| num_inference_steps=50, |
| guidance_scale=7.5, |
| ) |
| result.images[0].save("bitdance_14b_16x.png") |
| ``` |
|
|
| ## Model Metadata |
|
|
| - Pipeline class: `BitDanceDiffusionPipeline` |
| - Diffusers version in config: `0.36.0` |
| - Parallel prediction factor: `16` |
| - Text stack: `Qwen3ForCausalLM` + `Qwen2TokenizerFast` |
| - Supported resolutions include `1024x1024`, `1280x768`, `768x1280`, `2048x512`, and more (see `model_index.json`) |
|
|
| ## Citation |
|
|
| If you use this model, please cite BitDance and Diffusers: |
|
|
| ```bibtex |
| @article{ai2026bitdance, |
| title = {BitDance: Scaling Autoregressive Generative Models with Binary Tokens}, |
| 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}, |
| journal = {arXiv preprint arXiv:2602.14041}, |
| year = {2026} |
| } |
| |
| @inproceedings{von-platen-etal-2022-diffusers, |
| title = {Diffusers: State-of-the-art diffusion models}, |
| author = {Patrick von Platen and Suraj Patil and Anton Lozhkov and Damar Jablonski and Hernan Bischof and Thomas Wolf}, |
| booktitle = {GitHub repository}, |
| year = {2022}, |
| url = {https://github.com/huggingface/diffusers} |
| } |
| ``` |
|
|
| ## License |
|
|
| This repository is distributed under the Apache-2.0 license, consistent with the upstream BitDance release. |
|
|
