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-no-std-tests/tests/burnpack_tests.rs

@@ -0,0 +1,12 @@
+extern crate alloc;
+
+#[test]
+fn test_burnpack_no_std() {
+    use burn_ndarray::NdArray;
+    use burn_no_std_tests::burnpack;
+    type Backend = NdArray<f32>;
+    let device = Default::default();
+
+    // Run all Burnpack tests
+    burnpack::run_all_tests::<Backend>(&device);
+}

crates/stable-diffusion-burn/burn-crates/burn-no-std-tests/tests/safetensors_tests.rs

@@ -0,0 +1,12 @@
+extern crate alloc;
+
+#[test]
+fn test_safetensors_no_std() {
+    use burn_ndarray::NdArray;
+    use burn_no_std_tests::safetensors;
+    type Backend = NdArray<f32>;
+    let device = Default::default();
+
+    // Run all SafeTensors tests
+    safetensors::run_all_tests::<Backend>(&device);
+}

crates/stable-diffusion-burn/burn-crates/burn-no-std-tests/tests/test_integration.rs

@@ -0,0 +1,31 @@
+#![no_std] // Must keep it for testing
+
+use burn_no_std_tests::mlp::*;
+use burn_no_std_tests::model::*;
+
+use burn::tensor::{Distribution, Tensor, backend::Backend};
+use burn_ndarray::NdArray;
+
+#[test]
+fn test_mnist_model_with_random_input() {
+    type Backend = NdArray<f32>;
+
+    // Model configurations
+    let device = Default::default();
+    let mlp_config = MlpConfig::new();
+    let mnist_config = MnistConfig::new(mlp_config);
+    let mnist_model: Model<Backend> = Model::new(&mnist_config, &device);
+
+    // Pass a fixed seed for random, otherwise a build generated random seed is used
+    Backend::seed(&device, mnist_config.seed);
+
+    // Some random input
+    let input_shape = [1, 28, 28];
+    let input = Tensor::<Backend, 3>::random(input_shape, Distribution::Default, &device);
+
+    // Run through the model
+    let output = mnist_model.forward(input);
+
+    assert_eq!(&*output.shape(), [1, 10]);
+    assert!(output.to_data().iter::<f32>().all(|x| x <= 1.0));
+}