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Dall-E Image Generator | 🦜️🔗 LangChain

OpenAI Dall-E are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions, called "prompts".

This notebook shows how you can generate images from a prompt synthesized using an OpenAI LLM. The images are generated using Dall-E, which uses the same OpenAI API key as the LLM.

%pip install --upgrade --quiet  opencv-python scikit-image langchain-community

import os

from langchain_openai import OpenAI

os.environ["OPENAI_API_KEY"] = "insertapikey"

from langchain.chains import LLMChain
from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
from langchain_core.prompts import PromptTemplate
from langchain_openai import OpenAI

llm = OpenAI(temperature=0.9)
prompt = PromptTemplate(
    input_variables=["image_desc"],
    template="Generate a detailed prompt to generate an image based on the following description: {image_desc}",
)
chain = LLMChain(llm=llm, prompt=prompt)

image_url = DallEAPIWrapper().run(chain.run("halloween night at a haunted museum"))

try:
    import google.colab

    IN_COLAB = True
except ImportError:
    IN_COLAB = False

if IN_COLAB:
    from google.colab.patches import cv2_imshow  
    from skimage import io

    image = io.imread(image_url)
    cv2_imshow(image)
else:
    import cv2
    from skimage import io

    image = io.imread(image_url)
    cv2.imshow("image", image)
    cv2.waitKey(0)  
    cv2.destroyAllWindows()

from langchain_community.tools.openai_dalle_image_generation import (
    OpenAIDALLEImageGenerationTool,
)
from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
api_wrapper = DallEAPIWrapper()
dalle_tool = OpenAIDALLEImageGenerationTool(api_wrapper=api_wrapper)

tools = [dalle_tool]

agent = create_react_agent(llm, tools, debug=True)


prompt = "Create an image of a halloween night at a haunted museum"

messages = [
    
    
    {"role": "user", "content": prompt}
]


response = agent.invoke({"messages": messages})

print(response)

• Tool conceptual guide
• Tool how-to guides

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