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MAGREF/.gitattributes

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+"*.safetensors filter=lfs diff=lfs merge=lfs -text" 

MAGREF/README.md

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+---
+license: openrail++
+tags:
+  - image-to-video
+  - wan2.1
+  - finetune
+  - magref
+model_type: image-to-video
+base_model: Wan2_1-I2V
+---
+
+# MAGREF‑Video 14B I2V (WanGP-Ready)
+
+📁 This repo bundles the FP16 MAGREF-14B Image‑to‑Video model with an INT8 quantized version optimized for WanGP.
+
+---
+
+## 📥 Files
+
+- **`Wan2_1-Wan-I2V-MAGREF-14B_fp16_pure.safetensors`** – original Wan2.1 FP16 MAGREF model, cleaned for WanGP loading.  
+- **`Wan2_1-Wan-I2V-MAGREF-14B_quanto_fp16_int8.safetensors`** – INT8 quantized version for faster inference, same architecture.
+
+> These weights are based on the **fp8 MAGREF checkpoint** published by **Kijai** at [WanVideo_comfy](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1-Wan-I2V-MAGREF-14B_fp8_e4m3fn.safetensors).
+
+---
+
+## ⚙️ Features
+
+- **Image‑to‑Video pipeline** (i2v backbone)  
+- **Optimized for prompt-based subject preservation**  
+- **INT8 quantized version included for memory efficiency**
+
+---
+
+## 🛠 Installation & Usage (WanGP)
+
+1. **Clone/download** this repo.  
+2. Ensure both `.safetensors` files are in the same directory.  
+3. Use this JSON as your finetune definition:
+
+   ```jsonc
+   {
+     "model": {
+       "name": "MAGREF‑14B I2V",
+       "architecture": "i2v",
+       "modules": [],
+       "URLs": [
+         "Wan2_1-Wan-I2V-MAGREF-14B_fp16_pure.safetensors",
+         "Wan2_1-Wan-I2V-MAGREF-14B_quanto_fp16_int8.safetensors"
+       ],
+       "auto_quantize": false
+     },
+     "multi_images_gen_type": 1,
+     "prompt_enhancer": ""
+   }
+   ```
+4. **Start WanGP** with UI setup:
+   ```bash
+   python wgp.py --multiple-images
+   ```
+5. Choose **“MAGREF‑14B I2V”**, upload reference image(s), then generate!
+
+---
+
+## 📊 Model Info (Wan 2.1, MAGREF)
+
+- MAGREF extends the Wan2.1 14B I2V with **identity-preserving video generation**—originally published by **Kijai**.  
+- Built on the **Wan 2.1 framework**, a state-of-the-art open-source video foundation model with a 14B parameter backbone.  
+- MAGREF specializes in maintaining consistent subject appearance across varied motions, automatically managing pose and depth.
+
+---
+
+## 🧠 Tips & Tricks
+
+- 📸 Provide clear reference images—MAGREF handles blending but quality matters.  
+- 🎯 Use prompt slots like: “**[Left: ref‑image 1 with X], [Right: ref‑image 2 with Y]**” for layered scene control.  
+- 🎥 Fine-tune motion through clip speed (slower = softer movement).  
+- ⚡ FP16 is slow; use INT8 quant for real-time generation.
+
+---
+
+## 🧩 Credits
+
+- **MAGREF 14B I2V** checkpoint by **Kijai / WanVideo_comfy**  
+- **Wan 2.1** open-source video model framework  
+- **WanGP** UI integration for finetune loading
+
+---
+
+Download, drop in WanGP, and go wild with your characters in motion!

MAGREF/Wan2_1-Wan-I2V-MAGREF-14B_fp16_pure.safetensors

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MAGREF/Wan2_1-Wan-I2V-MAGREF-14B_quanto_bf16_int8_pure.safetensors

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