@@ -20,20 +20,15 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        config:
-          - name: LoRA
-            framework: lora
-            runner: docker-cpu
-            image: diffusers/diffusers-pytorch-cpu
-            report: torch_cpu_lora
+        lib-versions: ["main", "latest"]
 
 
-    name: ${{ matrix.config.name }}
+    name: LoRA - ${{ matrix.lib-versions }}
 
-    runs-on: ${{ matrix.config.runner }}
+    runs-on: docker-cpu
 
     container:
-      image: ${{ matrix.config.image }}
+      image: diffusers/diffusers-pytorch-cpu
       options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/
 
     defaults:
@@ -50,16 +45,19 @@ jobs:
       run: |
         apt-get update && apt-get install libsndfile1-dev libgl1 -y
         python -m pip install -e .[quality,test]
-        python -m pip install git+https://github.com/huggingface/accelerate.git
-        python -m pip install -U git+https://github.com/huggingface/transformers.git
-        python -m pip install -U git+https://github.com/huggingface/peft.git
+        if [ "${{ matrix.lib-version }}" == "main" ]; then
+            python -m pip install -U git+https://github.com/huggingface/peft.git
+            python -m pip install -U git+https://github.com/huggingface/transformers.git
+            python -m pip install -U git+https://github.com/huggingface/accelerate.git
+        else
+            python -m pip install -U peft transformers accelerate
+        fi
 
     - name: Environment
       run: |
         python utils/print_env.py
 
     - name: Run fast PyTorch LoRA CPU tests with PEFT backend
-      if: ${{ matrix.config.framework == 'lora' }}
       run: |
         python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
           -s -v \