1038lab/FlashVSR

Model

🧠 FlashVSR (ComfyUI Integration Model)

13

19 commits

2 linked in READMEs

updated Nov 17, 2025

See the code

README

🧠 FlashVSR (ComfyUI Integration Model)

This repository hosts the FlashVSR model weights used in the ComfyUI-FlashVSR project. It provides fast and efficient video super-resolution powered by FlashAttention-based architectures.

📦 Model Overview

FlashVSR (Flash Video Super-Resolution) is a high-performance video SR model that leverages efficient attention computation to upscale low-resolution videos while maintaining temporal consistency.

This version is provided for ComfyUI integration, optimized for direct use with the ComfyUI-FlashVSR extension.

🧩 Model Files

FileDescriptionSize
Wan2_1-T2V-1_3B_FlashVSR_fp32.safetensorsMain FlashVSR model weights~5.7 GB
Wan2_1_FlashVSR_TCDecoder_fp32.safetensorsTemporal consistency decoder~181 MB
Wan2_1_FlashVSR_LQ_proj_model_bf16.safetensorsLow-quality projection model~576 MB
Wan2.1_VAE.safetensorsVAE weights~254 MB
Prompt.safetensorsConditioning embeddings~4 MB

⚙️ Usage (with ComfyUI)

  1. Install ComfyUI

  2. Clone the FlashVSR node extension:

    git clone https://github.com/1038lab/ComfyUI-FlashVSR.git
    
  3. Download the model files from this Hugging Face repo:

    • Place them inside:

      ComfyUI/models/FlashVSR/
      
  4. Launch ComfyUI and load the FlashVSR workflow.

🧑‍🔬 Original Work

This model is based on the research and implementation from 👉 JunhaoZhuang/FlashVSR All credit for the model architecture and original training goes to the authors.

This repository only repackages the model for ComfyUI integration.

📜 License

Please refer to the original FlashVSR license for usage rights. Any redistribution or fine-tuning should comply with the same terms.

1038lab/FlashVSR

Model

🧠 FlashVSR (ComfyUI Integration Model)

13

19 commits

2 linked in READMEs

updated Nov 17, 2025

See the code

README

🧠 FlashVSR (ComfyUI Integration Model)

This repository hosts the FlashVSR model weights used in the ComfyUI-FlashVSR project. It provides fast and efficient video super-resolution powered by FlashAttention-based architectures.

📦 Model Overview

FlashVSR (Flash Video Super-Resolution) is a high-performance video SR model that leverages efficient attention computation to upscale low-resolution videos while maintaining temporal consistency.

This version is provided for ComfyUI integration, optimized for direct use with the ComfyUI-FlashVSR extension.

🧩 Model Files

FileDescriptionSize
Wan2_1-T2V-1_3B_FlashVSR_fp32.safetensorsMain FlashVSR model weights~5.7 GB
Wan2_1_FlashVSR_TCDecoder_fp32.safetensorsTemporal consistency decoder~181 MB
Wan2_1_FlashVSR_LQ_proj_model_bf16.safetensorsLow-quality projection model~576 MB
Wan2.1_VAE.safetensorsVAE weights~254 MB
Prompt.safetensorsConditioning embeddings~4 MB

⚙️ Usage (with ComfyUI)

  1. Install ComfyUI

  2. Clone the FlashVSR node extension:

    git clone https://github.com/1038lab/ComfyUI-FlashVSR.git
    
  3. Download the model files from this Hugging Face repo:

    • Place them inside:

      ComfyUI/models/FlashVSR/
      
  4. Launch ComfyUI and load the FlashVSR workflow.

🧑‍🔬 Original Work

This model is based on the research and implementation from 👉 JunhaoZhuang/FlashVSR All credit for the model architecture and original training goes to the authors.

This repository only repackages the model for ComfyUI integration.

📜 License

Please refer to the original FlashVSR license for usage rights. Any redistribution or fine-tuning should comply with the same terms.