diff --git a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/README.md b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/README.md
index 70e465b75e07dcbb7d398ab4a0c5a11229be0047..6d91c67df43b93e362f37e3f656f1d54facd8476 100755
--- a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/README.md
+++ b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/README.md
@@ -51,8 +51,8 @@
   **表 1**  版本配套表
   | 配套                                                         | 版本    | 环境准备指导                                                 |
   | ------------------------------------------------------------ | ------- | ------------------------------------------------------------ |
-  | 固件与驱动                                                   | 23.0.rc1  | [Pytorch框架推理环境准备](https://www.hiascend.com/document/detail/zh/ModelZoo/pytorchframework/pies) |
-  | CANN                                                         | 6.3.RC1 | -                                                            |
+  | 固件与驱动                                                   | 23.0.rc3  | [Pytorch框架推理环境准备](https://www.hiascend.com/document/detail/zh/ModelZoo/pytorchframework/pies) |
+  | CANN                                                         | 7.0.RC1 | -                                                            |
   | Python                                                       | 3.7.5   | -                                                            |                                                           |
 
 
@@ -422,6 +422,8 @@
 | Duo并行  |  20  |  1.322s   |
 | A2     |  20  |  0.811s   | 
 
+性能是使用FA后的性能
+
 迭代20次的参考精度结果如下：
 
    ```
diff --git a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/modify_onnx.py b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/modify_onnx.py
index febca9e77c56345d29ea7242bb430ea17b3dd649..1900ee7d48be4fe82b7d82a170467b9321637dd1 100644
--- a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/modify_onnx.py
+++ b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/modify_onnx.py
@@ -93,20 +93,32 @@ def change_input_type(model):
     model.inputs[1], model.inputs[2] = model.inputs[2], model.inputs[1]
 
 
+def get_index(model, init, name):
+    if name in init:
+        return model[name].value
+    else:
+        return name
+
+
 def replace_slice(model):
     # find pairs of slice
     slice_pair = []
     for node in model.get_nodes('Slice'):
-        if node.name[:-2] == '_1':
-            slice_pair.append((node.name[:-2], node.name))
+        if node.name[-2:] == '_1':
+            slice_pair.append((model[node.name[:-2]], model[node.name]))
     # replace
+    init = [n.name for n in model.get_nodes('Initializer')]
     for pair in slice_pair:
-        name = pair[0][:-5] + 'Split'
+        name = pair[0].name[:-5] + 'Split'
         data = pair[0].inputs[0]
-        if pair[0].inputs[1] == pair[1].inputs[2]:
-            outputs = pair[1].outputs + pair[0].outputs
-        if pair[1].inputs[1] == pair[0].inputs[2]:
+        start_0 = get_index(model, init, pair[0].inputs[1])
+        end_0 = get_index(model, init, pair[0].inputs[2])
+        start_1 = get_index(model, init, pair[1].inputs[1])
+        end_1 = get_index(model, init, pair[1].inputs[2])
+        if start_1 == end_0:
             outputs = pair[0].outputs + pair[1].outputs
+        elif start_0 == end_1:
+            outputs = pair[1].outputs + pair[0].outputs
         axes = pair[0].inputs[3]
         axis = model[axes].value[0]
         model.add_node(name, 'Split', inputs=[data], outputs=outputs, attrs={'axis':axis})
diff --git a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/pipeline_ascend_stable_diffusion.py b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/pipeline_ascend_stable_diffusion.py
index d614d105bfdd2fc3211491392c7a4a12bf1cf344..0bd88369209929da09e7df778b201744f9873735 100644
--- a/ACL_PyTorch/built-in/foundation_models/stable_diffusion/pipeline_ascend_stable_diffusion.py
+++ b/ACL_PyTorch/built-in/foundation_models/stable_diffusion/pipeline_ascend_stable_diffusion.py
@@ -53,7 +53,7 @@ class AscendStableDiffusionPipeline(StableDiffusionPipeline):
                                      truncation=True,
                                      return_tensors="pt")
         text_input_ids = text_inputs.input_ids
-        untruncated_ids = self.tokenizer(prompt, padding="max_length", return_tensors="pt").input_ids
+        untruncated_ids = self.tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
 
         if not torch.equal(text_input_ids, untruncated_ids):
             removed_text = self.tokenizer.batch_decode(untruncated_ids[:, self.tokenizer.model_max_length - 1 : -1])