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-tch/src/bin/cpu.rs

@@ -0,0 +1,14 @@
+use burn_backend::{TensorMetadata, ops::FloatTensorOps};
+use burn_tch::{LibTorch, LibTorchDevice};
+
+fn main() {
+    type B = LibTorch<f32>;
+    let device = LibTorchDevice::Cpu;
+
+    // Creation of two tensors, the first with explicit values and the second one with ones, with the same shape as the first
+    let tensor_1 = B::float_from_data([[2f32, 3.], [4., 5.]].into(), &device);
+    let tensor_2 = B::float_ones(tensor_1.shape(), &device, tensor_1.dtype().into());
+
+    // Print the element-wise addition of the two tensors.
+    println!("{}", B::float_add(tensor_1, tensor_2));
+}

crates/stable-diffusion-burn/burn-crates/burn-tch/src/bin/cuda.rs

@@ -0,0 +1,19 @@
+use burn_backend::{TensorMetadata, ops::FloatTensorOps};
+use burn_tch::{LibTorch, LibTorchDevice};
+
+fn main() {
+    assert!(
+        tch::utils::has_cuda(),
+        "Could not detect valid CUDA configuration"
+    );
+
+    type B = LibTorch<f32>;
+    let device = LibTorchDevice::Cuda(0);
+
+    // Creation of two tensors, the first with explicit values and the second one with ones, with the same shape as the first
+    let tensor_1 = B::float_from_data([[2f32, 3.], [4., 5.]].into(), &device);
+    let tensor_2 = B::float_ones(tensor_1.shape(), &device, tensor_1.dtype().into());
+
+    // Print the element-wise addition of the two tensors.
+    println!("{}", B::float_add(tensor_1, tensor_2));
+}

crates/stable-diffusion-burn/burn-crates/burn-tch/src/bin/mps.rs

@@ -0,0 +1,16 @@
+use burn_backend::{TensorMetadata, ops::FloatTensorOps};
+use burn_tch::{LibTorch, LibTorchDevice};
+
+fn main() {
+    assert!(tch::utils::has_mps(), "Could not detect MPS");
+
+    type B = LibTorch<f32>;
+    let device = LibTorchDevice::Mps;
+
+    // Creation of two tensors, the first with explicit values and the second one with ones, with the same shape as the first
+    let tensor_1 = B::float_from_data([[2f32, 3.], [4., 5.]].into(), &device);
+    let tensor_2 = B::float_ones(tensor_1.shape(), &device, tensor_1.dtype().into());
+
+    // Print the element-wise addition of the two tensors.
+    println!("{}", B::float_add(tensor_1, tensor_2));
+}