make deps_table_update to fix CI tests

.github/workflows/pr_test_peft_backend.yml

@@ -92,12 +92,14 @@ jobs:
       run: |
         python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
         python -m uv pip install -e [quality,test]
+        # TODO (sayakpaul, DN6): revisit `--no-deps`
         if [ "${{ matrix.lib-versions }}" == "main" ]; then
-            python -m pip install -U peft@git+https://github.com/huggingface/peft.git
-            python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git
-            pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
+            python -m pip install -U peft@git+https://github.com/huggingface/peft.git --no-deps
+            python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git --no-deps
+            pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git --no-deps
         else
-            python -m uv pip install -U peft transformers accelerate
+            python -m uv pip install -U peft --no-deps
+            python -m uv pip install -U transformers accelerate --no-deps
         fi
 
     - name: Environment

src/diffusers/dependency_versions_table.py

@@ -38,7 +38,7 @@
     "regex": "regex!=2019.12.17",
     "requests": "requests",
     "tensorboard": "tensorboard",
-    "torch": "torch>=1.4",
+    "torch": "torch>=1.4,<2.5.0",
     "torchvision": "torchvision",
     "transformers": "transformers>=4.41.2",
     "urllib3": "urllib3<=2.0.0",

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

@@ -1060,7 +1060,6 @@ def __call__(
             do_denormalize = [True] * image.shape[0]
         else:
             do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept]
-
         image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
 
         # Offload all models