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


# SeedVR2 Optimized Weights (FP8 + FP16 VAE)

This repository provides a curated set of weights for the **SeedVR2** upscaler, optimized for high-quality inference with a reduced memory footprint on modern hardware.

## Original Model & Research
- **Title**: SEED-VR: Image-to-Video Upscaling with Specialized Research
- **Original Repo**: [ByteDance-Seed/SeedVR2-3B](https://huggingface.co/ByteDance-Seed/SeedVR2-3B)
- **Organization**: ByteDance (Seed Story Team)

## Included Weights
The files in this repository were adapted from the ComfyUI distribution by [numz/SeedVR2_comfyUI](https://huggingface.co/numz/SeedVR2_comfyUI) to provide a streamlined experience for MindCraft Studio.

- **`seedvr2_ema_3b_fp8_e4m3fn.safetensors`**: The main 3B parameter transformer model quantized to **FP8 (e4m3fn)**. This allows the model to run on consumer hardware with significantly less VRAM while maintaining state-of-the-art upscaling quality.
- **`ema_vae_fp16.safetensors`**: The Exponential Moving Average (EMA) VAE kept in **FP16**. This ensures that the final image generation avoids the artifacts often introduced by low-precision VAEs.

## Usage
These files are intended to be used as a pair within the MindCraft Studio generation engine or any compatible MLX/Python environment.

## License
As with the original upstream model from ByteDance, these weights are distributed under the **Apache License 2.0**.