---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: text-to-audio
tags:
- t2a
- v2a
- text-to-audio
- video-to-audio
- woosh
- comfyui
- diffusion
- audio
- flow-matching
---

 # Woosh — Sound Effect Generative Models

  Inference code and open weights for sound effect generative models developed at Sony AI.

  [![GitHub](https://img.shields.io/badge/GitHub-SonyResearch%2FWoosh-black)](https://github.com/SonyResearch/Woosh)
  [![ComfyUI
  Node](https://img.shields.io/badge/ComfyUI-ComfyUI--Woosh-blue)](https://github.com/Saganaki22/ComfyUI-Woosh)
  [![arXiv](https://img.shields.io/badge/arXiv-2502.07359-b31b1b)](https://arxiv.org/abs/2502.07359)

  

![Screenshot 2026-04-12 013347](https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/kafOo1f9eZYfyyHgcbzPj.png)


<video controls width="100%">
  <source src="https://huggingface.co/drbaph/Woosh/resolve/main/ComfyUI-Woosh-example.mp4" type="video/mp4">
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</video>

  ## Models

  | Model | Task | Steps | CFG | Description |
  |-------|------|-------|-----|-------------|
  | **Woosh-Flow** | Text-to-Audio | 50 | 4.5 | Base model, best quality |
  | **Woosh-DFlow** | Text-to-Audio | 4 | 1.0 | Distilled Flow, fast generation |
  | **Woosh-VFlow** | Video-to-Audio | 50 | 4.5 | Base video-to-audio model |
  | **Woosh-DVFlow** | Video-to-Audio | 4 | 1.0 | Distilled VFlow, fast video-to-audio |

  ### Components

  - **Woosh-AE** — High-quality latent encoder/decoder. Provides latents for generative modeling and decodes audio from
  generated latents.
  - **Woosh-CLAP (TextConditionerA/V)** — Multimodal text-audio alignment model. Provides token latents for diffusion
  model conditioning. TextConditionerA for T2A, TextConditionerV for V2A.
  - **Woosh-Flow / Woosh-DFlow** — Original and distilled LDMs for text-to-audio generation.
  - **Woosh-VFlow** — Multimodal LDM generating audio from video with optional text prompts.

  ## ComfyUI Nodes

  Use these models in [ComfyUI](https://github.com/comfyanonymous/ComfyUI) with
  [ComfyUI-Woosh](https://github.com/Saganaki22/ComfyUI-Woosh):

  ```bash
  # Via ComfyUI Manager — search "Woosh" and click Install
  # Or manually:
  cd ComfyUI/custom_nodes
  git clone https://github.com/Saganaki22/ComfyUI-Woosh.git
  pip install -r ComfyUI-Woosh/requirements.txt
  ```

  Place downloaded model folders in `ComfyUI/models/woosh/`. See the [ComfyUI-Woosh
  README](https://github.com/Saganaki22/ComfyUI-Woosh) for full setup and workflow examples.

  > **Note:** Set the Woosh TextConditioning node to **T2A** for Flow/DFlow models and **V2A** for VFlow/DVFlow models.

  ## Inference

  See the [official Woosh repository](https://github.com/SonyResearch/Woosh) for standalone inference code and training
  details.

  ## VRAM Requirements

  | Model | VRAM (Approx) |
  |-------|---------------|
  | Flow / VFlow | ~8-12 GB |
  | DFlow / DVFlow | ~4-6 GB |
  | With CPU offload | ~2-4 GB |

  ## Citation

  ```bibtex
  @article{saghibakshi2025woosh,
        title={Woosh: Enhancing Text-to-Audio Generation with Flow Matching and FlowMap Distillation},
        author={Saghibakshi, Ali and Bakshi, Soroosh and Tagliasacchi, Antonio and Wang, Shaojie and Choi, Jongmin and
  Kawakami, Kazuhiro and Gu, Yuxuan},
        journal={arXiv preprint arXiv:2502.07359},
        year={2025}
  }
  ```

  ## License

  - **Code** — Apache 2.0
  - **Model Weights** — [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)