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README.md

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+---
+license: mit
+tags:
+- score-matching
+- anime
+- image-generation
+- pytorch
+---
+
+# Anime Face Score Matching Model
+
+A score-based generative model trained to generate 64x64 anime-style faces using Denoising Score Matching.
+
+## Model Details
+
+- **Model type**: NCSN / Score Matching
+- **Training data**: Anime faces dataset
+- **Image size**: 64x64 RGB
+- **Sigma**: 0.15
+- **Architecture**: Improved U-Net
+
+## Usage
+
+```python
+import torch
+# Load your model class definitions here
+
+# Load the model
+checkpoint = torch.load("model.pt")
+model = ImprovedScoreNetwork(in_channels=3)
+model.load_state_dict(checkpoint['ema_model_state_dict'])  # Use EMA weights
+model.eval()
+
+# Generate samples using Langevin Dynamics
+# (See sample_langevin function in training code)
+```

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b004348a9cdb428ace23434d058a62c035e042286d90d328a11c97502165b09e
+size 214420075