diff --git a/ChatGLM3/aiimg.sh b/ChatGLM3/aiimg.sh
new file mode 100644
index 0000000..a0c1e77
--- /dev/null
+++ b/ChatGLM3/aiimg.sh
@@ -0,0 +1 @@
+python3 -m http.server 8200
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diff --git a/ChatGLM3/api.py b/ChatGLM3/api.py
new file mode 100644
index 0000000..36aef2d
--- /dev/null
+++ b/ChatGLM3/api.py
@@ -0,0 +1,138 @@
+from typing import Union
+from fastapi import FastAPI, Header, BackgroundTasks,Request,Body
+from urllib.parse import unquote
+import re
+import pickle
+import os
+from fastapi.responses import JSONResponse
+import asyncio
+from pydantic import BaseModel
+import time
+from transformers import AutoTokenizer, AutoModel
+import uvicorn, json, datetime
+import torch
+import json
+import base64
+import requests
+# from tentcentSMS import sendSms
+
+#使用int8的量化模型
+# tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True)
+# #model = AutoModel.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True).half().quantize(8).cuda()
+# model = AutoModel.from_pretrained("THUDM/chatglm2-6b-int4",trust_remote_code=True).cuda()
+
+
+# ChatGLM3
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True)
+model = AutoModel.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True, device='cuda')
+
+model.eval()
+
+#显存满配全开
+#tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
+#model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).cuda()
+#model.eval()
+
+def submit_post(url: str, data: dict):
+    """
+    Submit a POST request to the given URL with the given data.
+    """
+    return requests.post(url, data=json.dumps(data))
+
+
+def save_encoded_image(b64_image: str, output_path: str):
+    """
+    Save the given image to the given output path.
+    """
+    with open(output_path, "wb") as image_file:
+        image_file.write(base64.b64decode(b64_image))
+
+
+
+
+
+DEVICE = "cuda"
+DEVICE_ID = "0"
+CUDA_DEVICE = f"{DEVICE}:{DEVICE_ID}" if DEVICE_ID else DEVICE
+
+
+def torch_gc():
+    if torch.cuda.is_available():
+        with torch.cuda.device(CUDA_DEVICE):
+            torch.cuda.empty_cache()
+            torch.cuda.ipc_collect()
+
+
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    query: Union[str, None] = None
+
+
+@app.get("/")
+def index():
+    return "hello"
+
+
+
+
+
+# AI生成图片
+@app.post("/img")
+async def img(
+    query=Body(None),
+    appid: Union[str, None] = Header(default=None),
+):
+    # print("console :,", "appid", appid, "bid", bid, "requestid", requestid, "uid", uid)
+    print('query',query)
+    print('query[query]',query["query"])
+    # 获取请求参数
+    global model, tokenizer
+    # time.sleep(10)
+    # print("item", item)
+    history = []  #默认空数组
+    prompt=''
+    max_length=None
+    top_p=None
+    temperature=None
+    response=None
+    try:
+        query = unquote(query["query"], "utf-8")
+        # 判断有没有'/img'标识符
+        if ('/img' in query) is True:
+            query=query.replace('/img', '')
+            prompt=query
+            txt2img_url = 'http://127.0.0.1:7860/sdapi/v1/txt2img'
+            data = {'prompt': prompt}
+            res = submit_post(txt2img_url, data)
+            # 以时间戳命名
+            now =str(time.time())
+            save_encoded_image(res.json()['images'][0], f'img/{now}.png')
+            # 网络图片
+            response=f'#web_img http://aiimg.hackrobot.cn/{now}.png'
+            print('response',response)
+            # return responseimg
+        else:
+            prompt = query #问题
+            # 请求ai模型
+            response, history = model.chat(tokenizer,
+                                    prompt,
+                                    history=history,
+                                    max_length=max_length if max_length else 2048,
+                                    top_p=top_p if top_p else 0.7,
+                                    temperature=temperature if temperature else 0.95)
+
+    except(ValueError, ArithmeticError):
+        print('ValueError',ValueError)
+        print('ArithmeticError',ArithmeticError)
+        prompt = ""
+
+    content = {
+        "answer": response,
+        "answer_type": "text",
+    }
+    headers = {"Content-Type": "application/json"}
+    return JSONResponse(content=content, headers=headers)
+
diff --git a/ChatGLM3/api.sh b/ChatGLM3/api.sh
new file mode 100644
index 0000000..790cfaa
--- /dev/null
+++ b/ChatGLM3/api.sh
@@ -0,0 +1 @@
+uvicorn api:app --port=8000
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diff --git a/stable-diffusion-webui/webuiApi.sh b/stable-diffusion-webui/webuiApi.sh
new file mode 100644
index 0000000..e3cb392
--- /dev/null
+++ b/stable-diffusion-webui/webuiApi.sh
@@ -0,0 +1 @@
+python3 launch.py --api
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