diff --git a/.github/workflows/push_tests.yml b/.github/workflows/push_tests.yml
index d1317ac92db2..3db6814e071d 100644
--- a/.github/workflows/push_tests.yml
+++ b/.github/workflows/push_tests.yml
@@ -59,5 +59,56 @@ jobs:
       if: ${{ always() }}
       uses: actions/upload-artifact@v2
       with:
-        name: push_torch_test_reports
+        name: torch_test_reports
+        path: reports
+
+
+
+  run_examples_single_gpu:
+    name: Examples tests
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [ single-gpu ]
+    runs-on: [ self-hosted, docker-gpu, '${{ matrix.machine_type }}' ]
+    container:
+      image: nvcr.io/nvidia/pytorch:22.07-py3
+      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+
+    steps:
+    - name: Checkout diffusers
+      uses: actions/checkout@v3
+      with:
+        fetch-depth: 2
+
+    - name: NVIDIA-SMI
+      run: |
+        nvidia-smi
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip uninstall -y torch torchvision torchtext
+        python -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu116
+        python -m pip install -e .[quality,test,training]
+
+    - name: Environment
+      run: |
+        python utils/print_env.py
+
+    - name: Run example tests on GPU
+      env:
+        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
+      run: |
+        python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --make-reports=examples_torch_gpu examples/
+
+    - name: Failure short reports
+      if: ${{ failure() }}
+      run: cat reports/examples_torch_gpu_failures_short.txt
+
+    - name: Test suite reports artifacts
+      if: ${{ always() }}
+      uses: actions/upload-artifact@v2
+      with:
+        name: examples_test_reports
         path: reports
diff --git a/examples/conftest.py b/examples/conftest.py
new file mode 100644
index 000000000000..a72bc85310d2
--- /dev/null
+++ b/examples/conftest.py
@@ -0,0 +1,45 @@
+# Copyright 2022 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# tests directory-specific settings - this file is run automatically
+# by pytest before any tests are run
+
+import sys
+import warnings
+from os.path import abspath, dirname, join
+
+
+# allow having multiple repository checkouts and not needing to remember to rerun
+# 'pip install -e .[dev]' when switching between checkouts and running tests.
+git_repo_path = abspath(join(dirname(dirname(dirname(__file__))), "src"))
+sys.path.insert(1, git_repo_path)
+
+
+# silence FutureWarning warnings in tests since often we can't act on them until
+# they become normal warnings - i.e. the tests still need to test the current functionality
+warnings.simplefilter(action="ignore", category=FutureWarning)
+
+
+def pytest_addoption(parser):
+    from diffusers.testing_utils import pytest_addoption_shared
+
+    pytest_addoption_shared(parser)
+
+
+def pytest_terminal_summary(terminalreporter):
+    from diffusers.testing_utils import pytest_terminal_summary_main
+
+    make_reports = terminalreporter.config.getoption("--make-reports")
+    if make_reports:
+        pytest_terminal_summary_main(terminalreporter, id=make_reports)
diff --git a/examples/test_examples.py b/examples/test_examples.py
new file mode 100644
index 000000000000..0099d17e638d
--- /dev/null
+++ b/examples/test_examples.py
@@ -0,0 +1,124 @@
+# coding=utf-8
+# Copyright 2022 HuggingFace Inc..
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import logging
+import os
+import shutil
+import subprocess
+import sys
+import tempfile
+import unittest
+from typing import List
+
+from accelerate.utils import write_basic_config
+from diffusers.testing_utils import slow
+
+
+logging.basicConfig(level=logging.DEBUG)
+
+logger = logging.getLogger()
+
+
+# These utils relate to ensuring the right error message is received when running scripts
+class SubprocessCallException(Exception):
+    pass
+
+
+def run_command(command: List[str], return_stdout=False):
+    """
+    Runs `command` with `subprocess.check_output` and will potentially return the `stdout`. Will also properly capture
+    if an error occured while running `command`
+    """
+    try:
+        output = subprocess.check_output(command, stderr=subprocess.STDOUT)
+        if return_stdout:
+            if hasattr(output, "decode"):
+                output = output.decode("utf-8")
+            return output
+    except subprocess.CalledProcessError as e:
+        raise SubprocessCallException(
+            f"Command `{' '.join(command)}` failed with the following error:\n\n{e.output.decode()}"
+        ) from e
+
+
+stream_handler = logging.StreamHandler(sys.stdout)
+logger.addHandler(stream_handler)
+
+
+class ExamplesTestsAccelerate(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        cls._tmpdir = tempfile.mkdtemp()
+        cls.configPath = os.path.join(cls._tmpdir, "default_config.yml")
+
+        write_basic_config(save_location=cls.configPath)
+        cls._launch_args = ["accelerate", "launch", "--config_file", cls.configPath]
+
+    @classmethod
+    def tearDownClass(cls):
+        super().tearDownClass()
+        shutil.rmtree(cls._tmpdir)
+
+    @slow
+    def test_train_unconditional(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            test_args = f"""
+                examples/unconditional_image_generation/train_unconditional.py
+                --dataset_name huggan/few-shot-aurora
+                --resolution 64
+                --output_dir {tmpdir}
+                --train_batch_size 4
+                --num_epochs 1
+                --gradient_accumulation_steps 1
+                --learning_rate 1e-3
+                --lr_warmup_steps 5
+                --mixed_precision fp16
+                """.split()
+
+            run_command(self._launch_args + test_args, return_stdout=True)
+            # save_pretrained smoke test
+            self.assertTrue(os.path.isfile(os.path.join(tmpdir, "unet", "diffusion_pytorch_model.bin")))
+            self.assertTrue(os.path.isfile(os.path.join(tmpdir, "scheduler", "scheduler_config.json")))
+            # logging test
+            self.assertTrue(len(os.listdir(os.path.join(tmpdir, "logs", "train_unconditional"))) > 0)
+
+    @slow
+    def test_textual_inversion(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            test_args = f"""
+                examples/textual_inversion/textual_inversion.py
+                --pretrained_model_name_or_path CompVis/stable-diffusion-v1-4
+                --use_auth_token
+                --train_data_dir docs/source/imgs
+                --learnable_property object
+                --placeholder_token <cat-toy>
+                --initializer_token toy
+                --resolution 64
+                --train_batch_size 1
+                --gradient_accumulation_steps 2
+                --max_train_steps 10
+                --learning_rate 5.0e-04
+                --scale_lr
+                --lr_scheduler constant
+                --lr_warmup_steps 0
+                --output_dir {tmpdir}
+                --mixed_precision fp16
+                """.split()
+
+            run_command(self._launch_args + test_args)
+            # save_pretrained smoke test
+            self.assertTrue(os.path.isfile(os.path.join(tmpdir, "learned_embeds.bin")))