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README.md

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-license: apache-2.0
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+---
+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**.