feat: update workspace paths and enhance gitignore

- Updated stablediffusion crate path from "../stable-diffusion-burn" to "./crates/stable-diffusion-burn" for proper workspace resolution
- Enhanced .gitignore to include generated model files (.mpk, .pt, .bin, .safetensors, .ckpt) and user_data directory
- Added Cargo.lock to gitignore with appropriate comment
- Reorganized IDE files section in gitignore for better clarity
- Added newline at end of file for proper formatting

crates/stable-diffusion-burn/burn-crates/burn-store/README.md

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+# Burn Store
+
+> Advanced model storage and serialization for the Burn deep learning framework
+
+[![Current Crates.io Version](https://img.shields.io/crates/v/burn-store.svg)](https://crates.io/crates/burn-store)
+[![Documentation](https://docs.rs/burn-store/badge.svg)](https://docs.rs/burn-store)
+
+A comprehensive storage library for Burn that enables efficient model serialization, cross-framework
+interoperability, and advanced tensor management.
+
+> **Migrating from burn-import?** See the [Migration Guide](MIGRATION.md) for help moving from
+> `PyTorchFileRecorder`/`SafetensorsFileRecorder` to the new Store API.
+
+## Features
+
+- **Burnpack Format** - Native Burn format with CBOR metadata, memory-mapped loading, ParamId
+  persistence for stateful training, and no-std support
+- **SafeTensors Format** - Industry-standard format for secure and efficient tensor serialization
+- **PyTorch Support** - Direct loading of PyTorch .pth/.pt files with automatic weight
+  transformation
+- **Zero-Copy Loading** - Memory-mapped files and lazy tensor materialization for optimal
+  performance
+- **Flexible Filtering** - Load/save specific model subsets with regex, exact paths, or custom
+  predicates
+- **Tensor Remapping** - Rename tensors during load/save for framework compatibility
+- **No-std Support** - Burnpack and SafeTensors formats available in embedded and WASM environments
+
+## Quick Start
+
+```rust
+use burn_store::{ModuleSnapshot, PytorchStore, SafetensorsStore, BurnpackStore};
+
+// Load from PyTorch
+let mut store = PytorchStore::from_file("model.pt");
+model.load_from(&mut store)?;
+
+// Load from SafeTensors (with PyTorch adapter)
+let mut store = SafetensorsStore::from_file("model.safetensors")
+    .with_from_adapter(PyTorchToBurnAdapter);
+model.load_from(&mut store)?;
+
+// Save to Burnpack
+let mut store = BurnpackStore::from_file("model.bpk");
+model.save_into(&mut store)?;
+```
+
+## Documentation
+
+For comprehensive documentation including:
+
+- Exporting weights from PyTorch
+- Loading weights into Burn models
+- Saving models to various formats
+- Advanced features (filtering, remapping, partial loading, zero-copy)
+- API reference and troubleshooting
+
+See the **[Burn Book - Model Weights](https://burn.dev/book/import/model-weights.html)** chapter.
+
+## Running Benchmarks
+
+```bash
+# Generate model files (one-time setup)
+uv run benches/generate_unified_models.py
+
+# Run loading benchmarks
+cargo bench --bench unified_loading
+
+# Run saving benchmarks
+cargo bench --bench unified_saving
+
+# With specific backend
+cargo bench --bench unified_loading --features metal
+```
+
+## License
+
+This project is dual-licensed under MIT and Apache-2.0.