Fix hub-dependent tests for PRs (#1119)

* Remove the hub token

* replace repos

* style

Author: anton-l

.github/workflows/pr_tests.yml

@@ -67,8 +67,6 @@ jobs:
 
     - name: Run fast PyTorch CPU tests
       if: ${{ matrix.config.framework == 'pytorch' }}
-      env:
-        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
       run: |
         python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
           -s -v -k "not Flax and not Onnx" \
@@ -77,8 +75,6 @@ jobs:
 
     - name: Run fast Flax TPU tests
       if: ${{ matrix.config.framework == 'flax' }}
-      env:
-        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
       run: |
         python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
           -s -v -k "Flax" \
@@ -87,8 +83,6 @@ jobs:
 
     - name: Run fast ONNXRuntime CPU tests
       if: ${{ matrix.config.framework == 'onnxruntime' }}
-      env:
-        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
       run: |
         python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
           -s -v -k "Onnx" \
@@ -141,8 +135,6 @@ jobs:
 
     - name: Run fast PyTorch tests on M1 (MPS)
       shell: arch -arch arm64 bash {0}
-      env:
-        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
       run: |
         ${CONDA_RUN} python -m pytest -n 1 -s -v --make-reports=tests_torch_mps tests/
 

tests/test_config.py

@@ -244,28 +244,30 @@ def test_load_ddim_from_pndm(self):
         logger = logging.get_logger("diffusers.configuration_utils")
 
         with CaptureLogger(logger) as cap_logger:
-            ddim = DDIMScheduler.from_config("runwayml/stable-diffusion-v1-5", subfolder="scheduler")
+            ddim = DDIMScheduler.from_config("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler")
 
         assert ddim.__class__ == DDIMScheduler
         # no warning should be thrown
         assert cap_logger.out == ""
 
-    def test_load_ddim_from_euler(self):
+    def test_load_euler_from_pndm(self):
         logger = logging.get_logger("diffusers.configuration_utils")
 
         with CaptureLogger(logger) as cap_logger:
-            euler = EulerDiscreteScheduler.from_config("runwayml/stable-diffusion-v1-5", subfolder="scheduler")
+            euler = EulerDiscreteScheduler.from_config(
+                "hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler"
+            )
 
         assert euler.__class__ == EulerDiscreteScheduler
         # no warning should be thrown
         assert cap_logger.out == ""
 
-    def test_load_ddim_from_euler_ancestral(self):
+    def test_load_euler_ancestral_from_pndm(self):
         logger = logging.get_logger("diffusers.configuration_utils")
 
         with CaptureLogger(logger) as cap_logger:
             euler = EulerAncestralDiscreteScheduler.from_config(
-                "runwayml/stable-diffusion-v1-5", subfolder="scheduler"
+                "hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler"
             )
 
         assert euler.__class__ == EulerAncestralDiscreteScheduler
@@ -276,7 +278,7 @@ def test_load_pndm(self):
         logger = logging.get_logger("diffusers.configuration_utils")
 
         with CaptureLogger(logger) as cap_logger:
-            pndm = PNDMScheduler.from_config("runwayml/stable-diffusion-v1-5", subfolder="scheduler")
+            pndm = PNDMScheduler.from_config("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler")
 
         assert pndm.__class__ == PNDMScheduler
         # no warning should be thrown