Merge branch 'main' into test-fixes

tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint_legacy.py

@@ -1,97 +0,0 @@
-# coding=utf-8
-# Copyright 2023 HuggingFace Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import unittest
-
-import numpy as np
-
-from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
-from diffusers.utils.testing_utils import (
-    is_onnx_available,
-    load_image,
-    load_numpy,
-    nightly,
-    require_onnxruntime,
-    require_torch_gpu,
-)
-
-
-if is_onnx_available():
-    import onnxruntime as ort
-
-
-@nightly
-@require_onnxruntime
-@require_torch_gpu
-class StableDiffusionOnnxInpaintLegacyPipelineIntegrationTests(unittest.TestCase):
-    @property
-    def gpu_provider(self):
-        return (
-            "CUDAExecutionProvider",
-            {
-                "gpu_mem_limit": "15000000000",  # 15GB
-                "arena_extend_strategy": "kSameAsRequested",
-            },
-        )
-
-    @property
-    def gpu_options(self):
-        options = ort.SessionOptions()
-        options.enable_mem_pattern = False
-        return options
-
-    def test_inference(self):
-        init_image = load_image(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
-            "/in_paint/overture-creations-5sI6fQgYIuo.png"
-        )
-        mask_image = load_image(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
-            "/in_paint/overture-creations-5sI6fQgYIuo_mask.png"
-        )
-        expected_image = load_numpy(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
-            "/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy"
-        )
-
-        # using the PNDM scheduler by default
-        pipe = OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
-            "CompVis/stable-diffusion-v1-4",
-            revision="onnx",
-            safety_checker=None,
-            feature_extractor=None,
-            provider=self.gpu_provider,
-            sess_options=self.gpu_options,
-        )
-        pipe.set_progress_bar_config(disable=None)
-
-        prompt = "A red cat sitting on a park bench"
-
-        generator = np.random.RandomState(0)
-        output = pipe(
-            prompt=prompt,
-            image=init_image,
-            mask_image=mask_image,
-            strength=0.75,
-            guidance_scale=7.5,
-            num_inference_steps=15,
-            generator=generator,
-            output_type="np",
-        )
-
-        image = output.images[0]
-
-        assert image.shape == (512, 512, 3)
-        assert np.abs(expected_image - image).max() < 1e-2