|
|
--- |
|
|
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**. |
