fix typos

README.md

@@ -23,7 +23,7 @@ InstantID is a new state-of-the-art tuning-free method to achieve ID-Preserving
 <img src='assets/applications.png'>
 
 ## Release
-- [2024/02/01] 🔥 We have supported LCM acceleration and Multi-ControlNets on our [Huggingface Spaces Demo](https://huggingface.co/spaces/InstantX/InstantID)!
+- [2024/02/01] 🔥 We have supported LCM acceleration and Multi-ControlNets on our [Huggingface Spaces Demo](https://huggingface.co/spaces/InstantX/InstantID)! Our depth estimator is supported by [Depth-Anything](https://github.com/LiheYoung/Depth-Anything).
 - [2024/01/31] 🔥 [OneDiff](https://github.com/siliconflow/onediff?tab=readme-ov-file#easy-to-use) now supports accelerated inference for InstantID, check [this](https://github.com/siliconflow/onediff/blob/main/benchmarks/instant_id.py) for details!
 - [2024/01/23] 🔥 Our pipeline has been merged into [diffusers](https://github.com/huggingface/diffusers/blob/main/examples/community/pipeline_stable_diffusion_xl_instantid.py)!
 - [2024/01/22] 🔥 We release the [pre-trained checkpoints](https://huggingface.co/InstantX/InstantID), [inference code](https://github.com/InstantID/InstantID/blob/main/infer.py) and [gradio demo](https://huggingface.co/spaces/InstantX/InstantID)!

gradio_demo/app-multicontrolnet.py

@@ -1,7 +1,8 @@
 import sys
-
 sys.path.append("./")
 
+from typing import Tuple
+
 import os
 import cv2
 import math
@@ -292,7 +293,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
 
     def apply_style(
         style_name: str, positive: str, negative: str = ""
-    ) -> tuple[str, str]:
+    ) -> Tuple[str, str]:
         p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
         return p.replace("{prompt}", positive), n + " " + negative
 

gradio_demo/app.py

@@ -1,6 +1,8 @@
 import sys
 sys.path.append('./')
 
+from typing import Tuple
+
 import os
 import cv2
 import math
@@ -205,7 +207,7 @@ def main(pretrained_model_name_or_path="wangqixun/YamerMIX_v8", enable_lcm_arg=F
                 input_image = Image.fromarray(res)
             return input_image
 
-    def apply_style(style_name: str, positive: str, negative: str = "") -> tuple[str, str]:
+    def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
         p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
         return p.replace("{prompt}", positive), n + ' ' + negative