Follow up openvinotoolkit#146 (openvinotoolkit#171)

.github/workflows/lcm_dreamshaper_cpp.yml

@@ -17,4 +17,27 @@ jobs:
       - uses: actions/setup-python@v4
         with:
           python-version: 3.8
-      - run: ./image_generation/lcm_dreamshaper_v7/cpp/set_up_and_run.sh
+      - name: Initialize OpenVINO / libeigen3-dev
+        run: |
+        curl https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2024.0.0-14004-a240ae8fadd/l_openvino_toolkit_ubuntu20_2024.0.0.dev20240116_x86_64.tgz | tar --directory ./openvino/ --strip-components 1 -xz
+        sudo ./openvino/install_dependencies/install_openvino_dependencies.sh
+        sudo apt install libeigen3-dev
+      - name: Download / convert a model / tokenizer
+        run: |
+          source ./openvino/setupvars.sh
+          cd ./image_generation/lcm_dreamshaper_v7/cpp/scripts/
+          python -m pip install -U pip
+          python -m pip install -r ./requirements.txt
+          python -m pip install ../../../../thirdparty/openvino_contrib/modules/custom_operations/
+          python convert_model.py -lcm "SimianLuo/LCM_Dreamshaper_v7" -t "FP16"
+        - name: Build app
+          run: |
+            source ./openvino/setupvars.sh
+            cd ./image_generation/lcm_dreamshaper_v7/cpp/
+            cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
+            cmake --build ./build/ --config Release --parallel
+        - name: Run app
+          run: |
+            source ./openvino/setupvars.sh
+            cd ./image_generation/lcm_dreamshaper_v7/cpp/build/
+            ./lcm_dreamshaper

.github/workflows/llm_bench-python.yml

@@ -61,7 +61,9 @@ jobs:
         python ./llm_bench/python/convert.py --model_id bigscience/bloomz-560m --output_dir ./ov_models/bloomz-560m --precision FP16
         python ./llm_bench/python/benchmark.py -m ./ov_models/bloomz-560m/pytorch/dldt/FP16/ -d cpu -n 1
     - name: Test tiny-stable-diffusion on Linux
-      run: llm_bench/python/llm_run_stable_diffusion_on_linux.sh
+      run: |
+        python ./llm_bench/python/convert.py --model_id segmind/tiny-sd --output_dir ./ov_models/tiny-sd --precision FP16
+        python ./llm_bench/python/benchmark.py -m ./ov_models/tiny-sd/pytorch/dldt/FP16/ -pf ./llm_bench/python/prompts/stable-diffusion.jsonl -d cpu -n 1
   stateful:
     runs-on: ubuntu-20.04
     steps: