requirement.txt + fix

app.py

@@ -31,7 +31,7 @@ def gen_image():
 
 
 @app.route('/gen_group_pic', methods=['POST'])
-def init_gen_group_pic():
+def gen_group_pic():
     if request.is_json:
         data = request.get_json()
         coordinates_list = data['coordinates_list']
@@ -50,7 +50,7 @@ def init_gen_group_pic():
             coordinates_list[i] = coordinates_list[i]['coordinates']
         
         openpose_image_path = opg.save_bodypose_mulit(canvas_size[0], canvas_size[1], coordinates_list, pid)
-        # gen_group_pic(openpose_image_path, base_image, pid, opg.server_address)
+        gen_group_pic_prompt(openpose_image_path, base_image, pid, opg.server_address)
 
         return jsonify({"status": "success", "message": "Data received"}), 201
     else:
@@ -63,7 +63,7 @@ def gen_fencer_prompt(openpose_image_path, pid, comfyUI_address):
         prompt_json = f.read()
         prompt = json.loads(prompt_json)
 
-        openpose_image_name = opg.upload_image_circular_queue(openpose_image_path, 20, pid)
+        openpose_image_name = opg.upload_image_circular_queue(openpose_image_path, 20, pid, comfyUI_address)
         opg.upload_image("ref_black.png", "ref_black.png")
 
         prompt["3"]["inputs"]["seed"] = random.randint(0, 10000000000)
@@ -72,17 +72,17 @@ def gen_fencer_prompt(openpose_image_path, pid, comfyUI_address):
 
         opg.queue_prompt(prompt, comfyUI_address)
 
-def gen_group_pic(openpose_image_path, base_image, pid, comfyUI_address):
+def gen_group_pic_prompt(openpose_image_path, base_image, pid, comfyUI_address):
-    with open("groupAPI.json", "r") as f:
+    with open("group_pic.json", "r") as f:
         prompt_json = f.read()
         prompt = json.loads(prompt_json)
 
-        openpose_image_name = opg.upload_image_circular_queue(openpose_image_path, 30, pid)
+        openpose_image_name = opg.upload_image_circular_queue(openpose_image_path, 30, pid, comfyUI_address)
-        base_image_name = opg.upload_image_circular_queue(base_image, 30, pid)
+        base_image_name = opg.upload_image_circular_queue(base_image, 30, pid, comfyUI_address)
 
         prompt["3"]["inputs"]["seed"] = random.randint(0, 10000000000)
-        prompt["17"]["inputs"]['image'] = openpose_image_name
+        prompt["10"]["inputs"]['image'] = openpose_image_name
-        prompt["17"]["inputs"]['image'] = base_image_name
+        prompt["14"]["inputs"]['image'] = base_image_name
 
         opg.queue_prompt(prompt, comfyUI_address)
     

openpose_gen.py

@@ -14,6 +14,8 @@ import sys
 import hashlib
 sys.path.append('./')
 
+server_address = "localhost:8188"
+
 def is_normalized(keypoints: List[skel.Keypoint]) -> bool:
     for keypoint in keypoints:
         if not (0 <= keypoint.x <= 1 and 0 <= keypoint.y <= 1):
@@ -119,8 +121,6 @@ def save_bodypose_mulit(width: int, height: int, coordinates_list: list, pid: st
 
     return image_path
 
-server_address = "localhost:8188"
-
 def queue_prompt(prompt, server_address):
     p = {"prompt": prompt}
     data = json.dumps(p).encode('utf-8')

requirement.txt

@@ -1,18 +1,24 @@
 blinker==1.8.2
+certifi==2024.8.30
 cffi==1.17.1
+charset-normalizer==3.3.2
 click==8.1.7
 colorama==0.4.6
 filelock==3.16.1
 Flask==3.0.3
 gevent==24.2.1
 greenlet==3.1.1
+idna==3.10
 itsdangerous==2.2.0
 Jinja2==3.1.4
 MarkupSafe==2.1.5
 numpy==2.1.1
 opencv-python==4.10.0.84
 pycparser==2.22
+requests==2.32.3
+requests-toolbelt==1.0.0
 setuptools==75.1.0
+urllib3==2.2.3
 uuid==1.30
 websocket==0.2.1
 Werkzeug==3.0.4