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| from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder | |
| from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState | |
| def gen_image(llm_kwargs, prompt, resolution="1024x1024", model="dall-e-2", quality=None, style=None): | |
| import requests, json, time, os | |
| from request_llms.bridge_all import model_info | |
| proxies = get_conf('proxies') | |
| # Set up OpenAI API key and model | |
| api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model']) | |
| chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint'] | |
| # 'https://api.openai.com/v1/chat/completions' | |
| img_endpoint = chat_endpoint.replace('chat/completions','images/generations') | |
| # # Generate the image | |
| url = img_endpoint | |
| headers = { | |
| 'Authorization': f"Bearer {api_key}", | |
| 'Content-Type': 'application/json' | |
| } | |
| data = { | |
| 'prompt': prompt, | |
| 'n': 1, | |
| 'size': resolution, | |
| 'model': model, | |
| 'response_format': 'url' | |
| } | |
| if quality is not None: | |
| data['quality'] = quality | |
| if style is not None: | |
| data['style'] = style | |
| response = requests.post(url, headers=headers, json=data, proxies=proxies) | |
| print(response.content) | |
| try: | |
| image_url = json.loads(response.content.decode('utf8'))['data'][0]['url'] | |
| except: | |
| raise RuntimeError(response.content.decode()) | |
| # 文件保存到本地 | |
| r = requests.get(image_url, proxies=proxies) | |
| file_path = f'{get_log_folder()}/image_gen/' | |
| os.makedirs(file_path, exist_ok=True) | |
| file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png' | |
| with open(file_path+file_name, 'wb+') as f: f.write(r.content) | |
| return image_url, file_path+file_name | |
| def edit_image(llm_kwargs, prompt, image_path, resolution="1024x1024", model="dall-e-2"): | |
| import requests, json, time, os | |
| from request_llms.bridge_all import model_info | |
| proxies = get_conf('proxies') | |
| api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model']) | |
| chat_endpoint = model_info[llm_kwargs['llm_model']]['endpoint'] | |
| # 'https://api.openai.com/v1/chat/completions' | |
| img_endpoint = chat_endpoint.replace('chat/completions','images/edits') | |
| # # Generate the image | |
| url = img_endpoint | |
| n = 1 | |
| headers = { | |
| 'Authorization': f"Bearer {api_key}", | |
| } | |
| make_transparent(image_path, image_path+'.tsp.png') | |
| make_square_image(image_path+'.tsp.png', image_path+'.tspsq.png') | |
| resize_image(image_path+'.tspsq.png', image_path+'.ready.png', max_size=1024) | |
| image_path = image_path+'.ready.png' | |
| with open(image_path, 'rb') as f: | |
| file_content = f.read() | |
| files = { | |
| 'image': (os.path.basename(image_path), file_content), | |
| # 'mask': ('mask.png', open('mask.png', 'rb')) | |
| 'prompt': (None, prompt), | |
| "n": (None, str(n)), | |
| 'size': (None, resolution), | |
| } | |
| response = requests.post(url, headers=headers, files=files, proxies=proxies) | |
| print(response.content) | |
| try: | |
| image_url = json.loads(response.content.decode('utf8'))['data'][0]['url'] | |
| except: | |
| raise RuntimeError(response.content.decode()) | |
| # 文件保存到本地 | |
| r = requests.get(image_url, proxies=proxies) | |
| file_path = f'{get_log_folder()}/image_gen/' | |
| os.makedirs(file_path, exist_ok=True) | |
| file_name = 'Image' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.png' | |
| with open(file_path+file_name, 'wb+') as f: f.write(r.content) | |
| return image_url, file_path+file_name | |
| def 图片生成_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| """ | |
| txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径 | |
| llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行 | |
| plugin_kwargs 插件模型的参数,暂时没有用武之地 | |
| chatbot 聊天显示框的句柄,用于显示给用户 | |
| history 聊天历史,前情提要 | |
| system_prompt 给gpt的静默提醒 | |
| user_request 当前用户的请求信息（IP地址等） | |
| """ | |
| history = [] # 清空历史,以免输入溢出 | |
| if prompt.strip() == "": | |
| chatbot.append((prompt, "[Local Message] 图像生成提示为空白，请在“输入区”输入图像生成提示。")) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新 | |
| return | |
| chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 请先把模型切换至gpt-*。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 .....")) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新 | |
| if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") | |
| resolution = plugin_kwargs.get("advanced_arg", '1024x1024') | |
| image_url, image_path = gen_image(llm_kwargs, prompt, resolution) | |
| chatbot.append([prompt, | |
| f'图像中转网址: <br/>`{image_url}`<br/>'+ | |
| f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>' | |
| f'本地文件地址: <br/>`{image_path}`<br/>'+ | |
| f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>' | |
| ]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新 | |
| def 图片生成_DALLE3(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| history = [] # 清空历史,以免输入溢出 | |
| if prompt.strip() == "": | |
| chatbot.append((prompt, "[Local Message] 图像生成提示为空白，请在“输入区”输入图像生成提示。")) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新 | |
| return | |
| chatbot.append(("您正在调用“图像生成”插件。", "[Local Message] 生成图像, 请先把模型切换至gpt-*。如果中文Prompt效果不理想, 请尝试英文Prompt。正在处理中 .....")) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 由于请求gpt需要一段时间,我们先及时地做一次界面更新 | |
| if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") | |
| resolution_arg = plugin_kwargs.get("advanced_arg", '1024x1024-standard-vivid').lower() | |
| parts = resolution_arg.split('-') | |
| resolution = parts[0] # 解析分辨率 | |
| quality = 'standard' # 质量与风格默认值 | |
| style = 'vivid' | |
| # 遍历检查是否有额外参数 | |
| for part in parts[1:]: | |
| if part in ['hd', 'standard']: | |
| quality = part | |
| elif part in ['vivid', 'natural']: | |
| style = part | |
| image_url, image_path = gen_image(llm_kwargs, prompt, resolution, model="dall-e-3", quality=quality, style=style) | |
| chatbot.append([prompt, | |
| f'图像中转网址: <br/>`{image_url}`<br/>'+ | |
| f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>' | |
| f'本地文件地址: <br/>`{image_path}`<br/>'+ | |
| f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>' | |
| ]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新 | |
| class ImageEditState(GptAcademicState): | |
| # 尚未完成 | |
| def get_image_file(self, x): | |
| import os, glob | |
| if len(x) == 0: return False, None | |
| if not os.path.exists(x): return False, None | |
| if x.endswith('.png'): return True, x | |
| file_manifest = [f for f in glob.glob(f'{x}/**/*.png', recursive=True)] | |
| confirm = (len(file_manifest) >= 1 and file_manifest[0].endswith('.png') and os.path.exists(file_manifest[0])) | |
| file = None if not confirm else file_manifest[0] | |
| return confirm, file | |
| def lock_plugin(self, chatbot): | |
| chatbot._cookies['lock_plugin'] = 'crazy_functions.图片生成->图片修改_DALLE2' | |
| self.dump_state(chatbot) | |
| def unlock_plugin(self, chatbot): | |
| self.reset() | |
| chatbot._cookies['lock_plugin'] = None | |
| self.dump_state(chatbot) | |
| def get_resolution(self, x): | |
| return (x in ['256x256', '512x512', '1024x1024']), x | |
| def get_prompt(self, x): | |
| confirm = (len(x)>=5) and (not self.get_resolution(x)[0]) and (not self.get_image_file(x)[0]) | |
| return confirm, x | |
| def reset(self): | |
| self.req = [ | |
| {'value':None, 'description': '请先上传图像（必须是.png格式）, 然后再次点击本插件', 'verify_fn': self.get_image_file}, | |
| {'value':None, 'description': '请输入分辨率,可选：256x256, 512x512 或 1024x1024, 然后再次点击本插件', 'verify_fn': self.get_resolution}, | |
| {'value':None, 'description': '请输入修改需求,建议您使用英文提示词, 然后再次点击本插件', 'verify_fn': self.get_prompt}, | |
| ] | |
| self.info = "" | |
| def feed(self, prompt, chatbot): | |
| for r in self.req: | |
| if r['value'] is None: | |
| confirm, res = r['verify_fn'](prompt) | |
| if confirm: | |
| r['value'] = res | |
| self.dump_state(chatbot) | |
| break | |
| return self | |
| def next_req(self): | |
| for r in self.req: | |
| if r['value'] is None: | |
| return r['description'] | |
| return "已经收集到所有信息" | |
| def already_obtained_all_materials(self): | |
| return all([x['value'] is not None for x in self.req]) | |
| def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): | |
| # 尚未完成 | |
| history = [] # 清空历史 | |
| state = ImageEditState.get_state(chatbot, ImageEditState) | |
| state = state.feed(prompt, chatbot) | |
| state.lock_plugin(chatbot) | |
| if not state.already_obtained_all_materials(): | |
| chatbot.append(["图片修改\n\n1. 上传图片（图片中需要修改的位置用橡皮擦擦除为纯白色，即RGB=255,255,255）\n2. 输入分辨率 \n3. 输入修改需求", state.next_req()]) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| return | |
| image_path = state.req[0]['value'] | |
| resolution = state.req[1]['value'] | |
| prompt = state.req[2]['value'] | |
| chatbot.append(["图片修改, 执行中", f"图片:`{image_path}`<br/>分辨率:`{resolution}`<br/>修改需求:`{prompt}`"]) | |
| yield from update_ui(chatbot=chatbot, history=history) | |
| image_url, image_path = edit_image(llm_kwargs, prompt, image_path, resolution) | |
| chatbot.append([prompt, | |
| f'图像中转网址: <br/>`{image_url}`<br/>'+ | |
| f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>' | |
| f'本地文件地址: <br/>`{image_path}`<br/>'+ | |
| f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>' | |
| ]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新 | |
| state.unlock_plugin(chatbot) | |
| def make_transparent(input_image_path, output_image_path): | |
| from PIL import Image | |
| image = Image.open(input_image_path) | |
| image = image.convert("RGBA") | |
| data = image.getdata() | |
| new_data = [] | |
| for item in data: | |
| if item[0] == 255 and item[1] == 255 and item[2] == 255: | |
| new_data.append((255, 255, 255, 0)) | |
| else: | |
| new_data.append(item) | |
| image.putdata(new_data) | |
| image.save(output_image_path, "PNG") | |
| def resize_image(input_path, output_path, max_size=1024): | |
| from PIL import Image | |
| with Image.open(input_path) as img: | |
| width, height = img.size | |
| if width > max_size or height > max_size: | |
| if width >= height: | |
| new_width = max_size | |
| new_height = int((max_size / width) * height) | |
| else: | |
| new_height = max_size | |
| new_width = int((max_size / height) * width) | |
| resized_img = img.resize(size=(new_width, new_height)) | |
| resized_img.save(output_path) | |
| else: | |
| img.save(output_path) | |
| def make_square_image(input_path, output_path): | |
| from PIL import Image | |
| with Image.open(input_path) as img: | |
| width, height = img.size | |
| size = max(width, height) | |
| new_img = Image.new("RGBA", (size, size), color="black") | |
| new_img.paste(img, ((size - width) // 2, (size - height) // 2)) | |
| new_img.save(output_path) | |