镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
edit image
这个提交包含在:
@@ -54,19 +54,23 @@ def edit_image(llm_kwargs, prompt, image_path, resolution="1024x1024", model="da
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img_endpoint = chat_endpoint.replace('chat/completions','images/edits')
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# # Generate the image
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url = img_endpoint
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n = 1
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headers = {
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'Authorization': f"Bearer {api_key}",
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'Content-Type': 'application/json'
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}
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data = {
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'image': open(image_path, 'rb'),
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'prompt': prompt,
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'n': 1,
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'size': resolution,
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'model': model,
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'response_format': 'url'
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}
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response = requests.post(url, headers=headers, json=data, proxies=proxies)
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make_transparent(image_path, image_path+'.transparent.png')
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image_path = image_path+'.transparent.png'
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with open(image_path, 'rb') as f:
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file_content = f.read()
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files = {
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'image': (os.path.basename(image_path), file_content),
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# 'mask': ('mask.png', open('mask.png', 'rb'))
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'prompt': (None, prompt),
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"n": (None, str(n)),
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'size': (None, resolution),
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}
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response = requests.post(url, headers=headers, files=files, proxies=proxies)
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print(response.content)
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try:
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image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
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@@ -187,14 +191,14 @@ def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, sys
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yield from update_ui(chatbot=chatbot, history=history)
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return
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image_path = state.req[0]
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resolution = state.req[1]
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prompt = state.req[2]
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image_path = state.req[0]['value']
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resolution = state.req[1]['value']
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prompt = state.req[2]['value']
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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}`"])
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yield from update_ui(chatbot=chatbot, history=history)
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image_url, image_path = edit_image(llm_kwargs, prompt, image_path, resolution)
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chatbot.append([state.prompt,
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chatbot.append([prompt,
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f'图像中转网址: <br/>`{image_url}`<br/>'+
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f'中转网址预览: <br/><div align="center"><img src="{image_url}"></div>'
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f'本地文件地址: <br/>`{image_path}`<br/>'+
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@@ -202,3 +206,19 @@ def 图片修改_DALLE2(prompt, llm_kwargs, plugin_kwargs, chatbot, history, sys
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])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 界面更新
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def make_transparent(input_image_path, output_image_path):
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from PIL import Image
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image = Image.open(input_image_path)
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image = image.convert("RGBA")
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data = image.getdata()
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new_data = []
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for item in data:
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if item[0] == 255 and item[1] == 255 and item[2] == 255:
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new_data.append((255, 255, 255, 0))
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else:
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new_data.append(item)
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image.putdata(new_data)
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image.save(output_image_path, "PNG")
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