README.md

metadata

license: apache-2.0
base_model:
  - ByteDance-Seed/SeedVR2-3B
  - ByteDance-Seed/SeedVR2-7B

ComfyUI-SeedVR2_VideoUpscaler

A Non official custom nodes for ComfyUI that enables Upscale Video generation using SeedVR2.

Features

• High-quality Upscaling
• Suitable for any video length once the right settings are found
• Model Will Be Download Automatically from Models

Requirements

• Last ComfyUI version with python 3.12.9 (may be works with older versions but I haven't test it)

Installation

1. Clone this repository into your ComfyUI custom nodes directory:

cd ComfyUI/custom_nodes
git clone https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler.git

2. Install the required dependencies:

load venv and :

pip install -r ComfyUI-SeedVR2_VideoUpscaler/requirements.txt

install flash_attn if it ask for it

pip install -r flash_attn

Or use python_embeded :

python_embeded\python.exe -m pip install -r ComfyUI-SeedVR2_VideoUpscaler/requirements.txt

python_embeded\python.exe -m pip install -r flash_attn

3. Models

   Will be automtically download into : models/SEEDVR2

   or can be found here (MODELS)

Usage

1. In ComfyUI, locate the SeedVR2 Video Upscaler node in the node menu.

2. Configure the node parameters:

   • model: Select your 3B or 7B model
   • seed: a seed but it generate another seed from this one
   • new_width: New desired Width, will keep ration on height
   • cfg_scale:
   • batch_size: VERY IMPORTANT!, this model consume a lot of VRAM, All your VRAM, even for the 3B model, so for GPU under 24GB VRAM keep this value Low, good values are [1,5,9,13,...]
   • vram_mode: It will try to help with VRAM, but 'auto' is good

Performance

1. NVIDIA H100 93GB VRAM

3B or 7B spike to 90+GB VRAM!! but fast!!

• 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=50 => Prompt executed in 338.63 seconds
• 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=10 => Prompt executed in 540.22 seconds
• 3B Model, 97 images, from 512x768 to 720x1080, batch_size=10 => Prompt executed in 183.64 seconds
• 7B Model, 50 images, 512x768 to 1080x1620, batch_size=50, Prompt executed in 166.89 seconds
• 7B Model, 97 images, 512x768 to 1080x1620, batch_size=97, Prompt executed in 146.72 seconds
• 7B Model, 200 images, 512x768 to 1080x1620, batch_size=200, Prompt executed in 266.14 seconds

2. NVIDIA RTX4090 24GB VRAM

• 3B Model, 20 images, from 512x768 to 1080x1620, batch_size=1, Prompt executed in 1022.26 seconds

Limitations

• Use a lot of VRAM, it will take alllllll!!!!
• Processing speed depends on GPU capabilities

Credits

• Original SeedVR2 implementation

📜 License

• The code in this repository is released under the MIT license as found in the LICENSE file.