use small model for testing textual inversion (#1030)

* use small model for testing textual inversion

* enable tests in precommit

tests/openvino/test_diffusion.py

@@ -17,7 +17,6 @@
 from pathlib import Path
 
 import numpy as np
-import pytest
 import torch
 from diffusers import (
     AutoPipelineForImage2Image,
@@ -28,7 +27,6 @@
 from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 from diffusers.utils import load_image
 from parameterized import parameterized
-from transformers.testing_utils import slow
 from utils_tests import MODEL_NAMES, SEED
 
 from optimum.intel.openvino import (
@@ -379,15 +377,10 @@ def test_height_width_properties(self, model_arch: str):
         self.assertEqual(ov_pipeline.height, height)
         self.assertEqual(ov_pipeline.width, width)
 
-    @pytest.mark.run_slow
-    @slow
     @require_diffusers
     def test_textual_inversion(self):
-        # for now we only test for stable-diffusion
-        # this is very slow and costly to run right now
-
-        model_id = "runwayml/stable-diffusion-v1-5"
-        ti_id = "sd-concepts-library/cat-toy"
+        model_id = "hf-internal-testing/tiny-stable-diffusion-torch"
+        ti_id = "katuni4ka/textual_inversion_cat"
 
         inputs = self.generate_inputs()
         inputs["prompt"] = "A <cat-toy> backpack"
@@ -623,15 +616,10 @@ def test_height_width_properties(self, model_arch: str):
         self.assertEqual(ov_pipeline.height, height)
         self.assertEqual(ov_pipeline.width, width)
 
-    @pytest.mark.run_slow
-    @slow
     @require_diffusers
     def test_textual_inversion(self):
-        # for now we only test for stable-diffusion
-        # this is very slow and costly to run right now
-
-        model_id = "runwayml/stable-diffusion-v1-5"
-        ti_id = "sd-concepts-library/cat-toy"
+        model_id = "hf-internal-testing/tiny-stable-diffusion-torch"
+        ti_id = "katuni4ka/textual_inversion_cat"
 
         inputs = self.generate_inputs(model_type="stable-diffusion")
         inputs["prompt"] = "A <cat-toy> backpack"
@@ -867,15 +855,10 @@ def test_height_width_properties(self, model_arch: str):
         self.assertEqual(ov_pipeline.height, height)
         self.assertEqual(ov_pipeline.width, width)
 
-    @pytest.mark.run_slow
-    @slow
     @require_diffusers
     def test_textual_inversion(self):
-        # for now we only test for stable-diffusion
-        # this is very slow and costly to run right now
-
-        model_id = "runwayml/stable-diffusion-v1-5"
-        ti_id = "sd-concepts-library/cat-toy"
+        model_id = "hf-internal-testing/tiny-stable-diffusion-torch"
+        ti_id = "katuni4ka/textual_inversion_cat"
 
         inputs = self.generate_inputs()
         inputs["prompt"] = "A <cat-toy> backpack"