I'm absolutely in love with SeedVR2 and the FP16 model. Honestly, it's the best upscaler I've ever used. It keeps the image exactly as it is. no weird artifacts, no distortion, nothing. Just super clean results.
I tried GGUF before, but it messed with the skin a lot. FP8 didn’t work for me either because it added those tiling grids to the image.
Since the models get downloaded directly through the workflow, you don’t have to grab anything manually. Just be aware that the first image will take a bit longer.
I'm just using the standard SeedVR2 workflow here, nothing fancy. I only added an extra node so I can upscale multiple images in a row.
The base image was generated with Z-Image, and I'm running this on a 5090, so I can’t say how well it performs on other GPUs. For me, it takes about 38 seconds to upscale an image.
Here’s the workflow:
Test image:
https://imgur.com/a/test-image-JZxyeGd
Model if you want to manually download it:
https://huggingface.co/numz/SeedVR2_comfyUI/blob/main/seedvr2_ema_7b_fp16.safetensors
Custom nodes:
for the vram cache nodes (It doesn't need to be installed, but I would recommend it, especially if you work in batches)
https://github.com/yolain/ComfyUI-Easy-Use.git
Seedvr2 Nodes
https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler.git
For the "imagelist_from_dir" node
https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/
Why has no one created a QR Monster ControlNet for any of the newer models? I feel like this was the best ControlNet. Canny and depth are just not the same.
Thank you Chinese devs for providing for the community if it not for them we'll be still stuck at stable diffusion 1.5
Never forget…
Link: https://huggingface.co/Tongyi-MAI/Z-Image Comfy https://huggingface.co/Comfy-Org/z\_image/tree/main/split\_files/diffusion\_models
https://youtu.be/54IxX6FtKg8 A year ago, I never imagined I’d be able to generate a video like this on my own computer. (5070ti gpu) It’s still rough around the edges, but I wanted to share it anyway. All sound effects, excluding the background music, were generated with MMAudio, and the video was upscaled from 720p to 1080p using SeedVR2.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource