ComfyUI-SeedVR2_VideoUpscaler

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

🆙 Todo

• Fixed unloading the 3B model when the process is finished (sorry about that, I'm trying to find out what's going on)

🚀 Updates

2025.06.22

• 💪 FP8 compatibility !
• 🚀 Speed Up all Process
• 🚀 less VRAM consumption (Stay high, batch_size=1 for RTX4090 max, I'm trying to fix that)
• 🛠️ Better benchmark coming soon

2025.06.20

• 🛠️ Initial push

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 value is "1", you have
   • vram_mode: It will try to help with VRAM, but 'auto' is good

Performance

NVIDIA H100 93GB VRAM

Model	Images	Resolution	Batch Size	Time (seconds)	FPS
3B fp16	97	512x768 → 1280x1920	50	338.63	0.29
3B fp16	97	512x768 → 1280x1920	10	540.22	0.18
3B fp16	97	512x768 → 720x1080	10	183.64	0.53

Model	Images	Resolution	Batch Size	Time (s)	FPS
7B FP8	3	512×768 → 1080×1620	1	58.10	0.05
7B FP8	15	512×768 → 1080×1620	5	135.63	0.11
7B FP8	27	512×768 → 1080×1620	9	163.22	0.17
7B FP8	39	512×768 → 1080×1620	13	189.36	0.21
7B FP8	51	512×768 → 1080×1620	17	215.80	0.24
7B FP8	63	512×768 → 1080×1620	21	241.79	0.26
7B FP8	75	512×768 → 1080×1620	25	267.93	0.28
7B FP8	123	512×768 → 1080×1620	41	373.60	0.33
7B FP8	243	512×768 → 1080×1620	81	642.20	0.38
7B FP8	363	512×768 → 1080×1620	121	913.61	0.40
7B FP8	453	512×768 → 1080×1620	151	1132.01	0.40
7B FP8	633	512×768 → 1080×1620	211	1541.09	0.41
7B FP8	903	512×768 → 1080×1620	301	OOM	OOM

NVIDIA RTX4090 24GB VRAM

Model	Images	Resolution	Batch Size	Time (seconds)	FPS
3B fp8	20	512x768 → 1080x1620	1	144.23	0.14
3B fp16	20	512x768 → 1080x1620	1	214.82	0.09
3B fp8	20	512x768 → 1280x1920	1	248.38	0.08
3B fp8	20	512x768 → 1480x2220	1	319.06	0.06
3B fp8	20	512x768 → 1620x2430	1	359.28	0.06
7B fp16	5	512x768 → 1080x1620	1	124.36	0.04
7B fp8	5	512x768 → 1080x1620	1	118.27	0.04
3B fp16	5	512x768 → 1080x1620	1	58.23	0.08
3B fp8	5	512x768 → 1080x1620	1	56.76	0.09
3B fp8	10	512x768 → 1080x1620	5	128.73	0,07

Limitations

• Use a lot of VRAM, it will take all!!
• 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.