[Model] Add stable diffusion model based on fastdeploy (#297)

* Add stable diffusion model base on fastdeploy

* Add sd infer

* pipelines->multimodal

* add create_ort_runtime

* use fp16 input

* fix pil

* Add optimize unet model

* add hf license

* Add workspace args

* Add profile func

* Add schedulers

* usrelace torch.Tenosr  byp.ndarray

* Add readme

* Add trt shape setting

* add dynamic shape

* Add dynamic shape for stable diffusion

* fix max shape setting

* rename tensorrt file suffix

* update dynamic shape setting

* Add scheduler output

* Add inference_steps and benchmark steps

* add diffuser benchmark

* Add paddle infer script

* Rename 1

* Rename infer.py to torch_onnx_infer.py

* Add export torch to onnx model

* renmove export model

* Add paddle export model for diffusion

* Fix export model

* mv torch onnx infer to infer

* Fix export model

* Fix infer

* modif create_trt_runtime create_ort_runtime

* update export torch

* update requirements

* add paddle inference backend

* Fix unet pp run

* remove print

* Add paddle model export and infer

* Add device id

* remove profile to utils

* Add -1 device id

* Add safety checker args

* remove safety checker temporarily

* Add export model description

* Add predict description

* Fix readme

* Fix device_id description

* add timestep shape

* add use fp16 precision

* move use gpu

* Add EulerAncestralDiscreteScheduler

* Use EulerAncestralDiscreteScheduler with v1-5 model

* Add export model readme

* Add link of exported model

* Update scheduler on README

* Addd stable-diffusion-v1-5

python/fastdeploy/utils/profile.py

@@ -0,0 +1,28 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 cProfile, pstats, io
+from pstats import SortKey
+
+
+def profile(func, *args, **kwargs):
+    pr = cProfile.Profile()
+    pr.enable()
+    func(*args, **kwargs)
+    pr.disable()
+    s = io.StringIO()
+    sortby = SortKey.CUMULATIVE
+    ps = pstats.Stats(pr, stream=s).sort_stats(sortby)
+    ps.print_stats()
+    print(s.getvalue())