diff --git a/BaiHu/Test/Test.py b/BaiHu/Test/Test.py
index 01a399df..3f7469a4 100644
--- a/BaiHu/Test/Test.py
+++ b/BaiHu/Test/Test.py
@@ -1,30 +1,29 @@
-import json
 import requests
 import io
 import base64
 from PIL import Image
 import cv2
 
+def encode_image(image_path):
+    with open(image_path, "rb") as i:
+        b64 = base64.b64encode(i.read())
+    return b64.decode("utf-8")
+
 url = "http://192.168.1.21:7860"
 
 prompt = "(8k, RAW photo, highest quality),hyperrealistic abstract style portrait of an otherworldly being with metallic skin,glowing orbs for eyes,and intricate fractal patterns emanating from their face,non-representational,colors and shapes,expression of feelings,imaginative,highly detailed,(pink Fluorescent eyeshadow:1.2),eyeliner,makeup,lipstick,watery eyes,(Mole under eye:1.2),(seductive_smile:1.2),XURE Dunhuang Flying XL,1girl,<lora:绪儿 敦煌飞天XL:0.6>,"
 negative_prompt = "NSFW,blurry,low quality,watermark,monochrome,badhandv4,easynegative,ng_deepnegative_v1_75t,bad proportions,mutated hands and fingers,poorly drawn face,extra limb,missing limb,malformed limbs,disconnected limbs,ugly,floating limbs,extra legs,mutation,bad body,long neck,cross-eyed,text,cleavage,"
 
 # 此处为读取一张图片作为输入图像
-img = cv2.imread('../Image/28/1.jpg')
-
-# 编码图像
-retval, bytes = cv2.imencode('.jpg', img)
-encoded_image = base64.b64encode(bytes).decode('utf-8')
+encoded_image = encode_image('../Image/28/1.jpg')
+encoded_source_image =encode_image('../Image/1ae93e2587822c291362abf9504cb49ec.jpeg')
 
 payload = {
-
     # 模型设置
     "override_settings": {
         "sd_model_checkpoint": "绪儿-一青十色XL_V2 VAE.safetensors [9f9290ac66]",
         "sd_vae": "Automatic"
     },
-
     # 基本参数
     "prompt": prompt,
     "negative_prompt": negative_prompt,
@@ -46,9 +45,45 @@ payload = {
     "denoising_strength": 0.5,
     # "hr_scale": 2,
     # "hr_upscaler": "Latent",
-
+    "alwayson_scripts": {
+        "ControlNet": {
+            "args": [
+                {
+                    "enabled": True,
+                    "model": "ip-adapter_instant_id_sdxl [eb2d3ec0]",
+                    "module": "instant_id_face_embedding",
+                    "weight": 1,
+                    "resize_mode": "Crop and Resize",
+                    "guidance_start": 0,
+                    "guidance_end": 1,
+                    "pixel_perfect": True,
+                    "processor_res": 512,
+                    "save_detected_map": True,
+                    "input_image": encoded_source_image,
+                    "control_mode": "My prompt is more important"
+                },
+                {
+                    "enabled": True,
+                    "model": "control_instant_id_sdxl [c5c25a50]",
+                    "module": "instant_id_face_keypoints",
+                    "weight": 1,
+                    "resize_mode": "Crop and Resize",
+                    "guidance_start": 0,
+                    "guidance_end": 1,
+                    "pixel_perfect": True,
+                    "processor_res": 512,
+                    "save_detected_map": True,
+                    "input_image": encoded_image,
+                    "control_mode": "ControlNet is more important"
+                }
+            ]
+        }
+    }
 }
 
+#payload["alwayson_scripts"]["ControlNet"]["args"][0]["input_image"] = encoded_source_image
+#payload["alwayson_scripts"]["ControlNet"]["args"][1]["input_image"] = encoded_image
+
 response = requests.post(url=f'{url}/sdapi/v1/img2img', json=payload)
 r = response.json()
 image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))