requirements.txt remove zhipuai

py/zhipu_glm4.py

@@ -1,126 +0,0 @@
-# layerstyle advance
-import os
-import torch
-import base64
-import requests
-from io import BytesIO
-
-import folder_paths
-from PIL import Image
-from .imagefunc import log, tensor2pil, get_api_key
-
-
-# apikey申请地址：https://bigmodel.cn/usercenter/proj-mgmt/apikeys
-class LS_ZhipuImage:
-
-    def __init__(self):
-        self.NODE_NAME = 'ZhipuGLM4V'
-
-    @classmethod
-    def INPUT_TYPES(cls):
-        glm_model_list = ["glm-4v-flash", "glm-4v", "glm-4v-plus"]
-        return {"required":{
-                    "image": ("IMAGE",),
-                    "model": (glm_model_list,),
-                    "user_prompt": ("STRING", {"default": "describe this image", "multiline": True}),
-                },
-                "optional": {
-                }
-            }
-
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("text",)
-    FUNCTION = "zhipu_glm4v"
-    CATEGORY = '😺dzNodes/LayerUtility'
-
-    def zhipu_glm4v(self, image, model, user_prompt,):
-        from zhipuai import ZhipuAI
-        client = ZhipuAI(api_key=get_api_key('zhipu_api_key'))  # APIKey
-
-
-        img = tensor2pil(image).convert('RGB')
-
-        img_data = BytesIO()
-        img.save(img_data, format="JPEG")
-        img_url = base64.b64encode(img_data.getvalue()).decode("utf-8")
-
-        messages = [
-                {"role": "user",
-                 "content": [
-                    {"type": "text",
-                     "text": user_prompt
-                    },
-                    {"type": "image_url",
-                     "image_url": {"url": img_url}
-                    }
-                 ]
-                }
-
-            ]
-
-        response = client.chat.completions.create(
-            model=model,  # 填写需要调用的模型名称
-            messages=messages
-        )
-        ret_message = response.choices[0].message.content
-        log(f"{self.NODE_NAME} response is: {ret_message}")
-
-        return (ret_message,)
-
-class LS_ZhipuText:
-
-    def __init__(self):
-        self.NODE_NAME = 'ZhipuGLM4'
-
-    @classmethod
-    def INPUT_TYPES(cls):
-        glm_model_list = ["GLM-4-Flash", "GLM-4-FlashX", "GLM-4-Plus", "GLM-4-Long","GLM-4-Air", "GLM-4-AirX"]
-        return {"required":{
-                    "model": (glm_model_list,),
-                    "user_prompt": ("STRING", {"default": "where is the capital of France?", "multiline": True}),
-                    "history_length": ("INT", {"default": 8, "min": 1, "max": 64, "step": 1}),
-                },
-                "optional": {
-                    "history": ("GLM4_HISTORY",),
-                }
-            }
-
-    RETURN_TYPES = ("STRING", "GLM4_HISTORY",)
-    RETURN_NAMES = ("text", "history",)
-    FUNCTION = "zhipu_glm4"
-    CATEGORY = '😺dzNodes/LayerUtility'
-
-    def zhipu_glm4(self, model, user_prompt, history_length, history=None):
-
-        from zhipuai import ZhipuAI
-        client = ZhipuAI(api_key=get_api_key('zhipu_api_key'))  # APIKey
-
-        if history is not None:
-            messages = history["messages"]
-            messages = messages[-history_length *2:]
-        else:
-            messages = []
-        task = {"role": "user", "content": user_prompt}
-        messages.append(task)
-
-        response = client.chat.completions.create(
-            model=model,  # 填写需要调用的模型名称
-            messages=messages
-        )
-        ret_message = response.choices[0].message.content
-        messages.append({"role": "assistant", "content": ret_message})
-        log(f"{self.NODE_NAME} response is: {ret_message}")
-
-        return (ret_message, {"messages":messages},)
-
-
-NODE_CLASS_MAPPINGS = {
-    "LayerUtility: ZhipuGLM4V": LS_ZhipuImage,
-    "LayerUtility: ZhipuGLM4": LS_ZhipuText,
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "LayerUtility: ZhipuGLM4V": "LayerUtility: ZhipuGLM4V(Advance)",
-    "LayerUtility: ZhipuGLM4": "LayerUtility: ZhipuGLM4(Advance)",
-}
-

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_layerstyle_advance"
 description = "The nodes detached from ComfyUI Layer Style are mainly those with complex requirements for dependency packages."
-version = "2.0.10"
+version = "2.0.11"
 license = "MIT"
 dependencies = ["numpy", "matplotlib", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "timm", "blend_modes", "transformers", "diffusers", "loguru", "colour-science", "huggingface_hub", "segment_anything", "addict", "omegaconf", "yapf", "wget", "iopath", "mediapipe", "typer_config", "fastapi", "rich", "google-generativeai", "ultralytics", "transparent-background", "accelerate", "onnxruntime", "bitsandbytes", "peft", "protobuf", "hydra-core", "blind-watermark", "qrcode", "pyzbar", "psd-tools", "wandb"]
 

requirements.txt

@@ -32,6 +32,4 @@ protobuf
 hydra-core
 blind-watermark
 qrcode
-pyzbar
-psd-tools
-zhipuai
+pyzbar