forked from Archives/langchain
62ef63a3be
This is a utility that allows you to generate an image from a prompt. It uses the OpenAI DALL-E image generator, which can take the same API key as the LLM. The output is a link to the generated image, which can be downloaded to a file or rendered depending on the use case. By default a single image of resolution 1024x1024 is generated.
182 lines
6.9 KiB
Plaintext
182 lines
6.9 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Dall-E Image Generator\n",
|
|
"\n",
|
|
"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."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Needed if you would like to display images in the notebook\n",
|
|
"!pip install opencv-python scikit-image"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {
|
|
"id": "q-k8wmp0zquh"
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langchain.llms import OpenAI\n",
|
|
"import os\n",
|
|
"os.environ[\"OPENAI_API_KEY\"] = \"<your-key-here>\""
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Run as a chain"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langchain.utilities.dalle_image_generator import DallEAPIWrapper\n",
|
|
"from langchain.prompts import PromptTemplate\n",
|
|
"from langchain.chains import LLMChain\n",
|
|
"\n",
|
|
"llm = OpenAI(temperature=0.9)\n",
|
|
"prompt = PromptTemplate(\n",
|
|
" input_variables=[\"image_desc\"],\n",
|
|
" template=\"Generate a detailed prompt to generate an image based on the following description: {image_desc}\",\n",
|
|
")\n",
|
|
"chain = LLMChain(llm=llm, prompt=prompt)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"https://oaidalleapiprodscus.blob.core.windows.net/private/org-rocrupyvzgcl4yf25rqq6d1v/user-WsxrbKyP2c8rfhCKWDyMfe8N/img-mg1OWiziXxQN1aR2XRsLNndg.png?st=2023-01-31T07%3A34%3A15Z&se=2023-01-31T09%3A34%3A15Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-01-30T22%3A19%3A44Z&ske=2023-01-31T22%3A19%3A44Z&sks=b&skv=2021-08-06&sig=XDPee5aEng%2BcbXq2mqhh39uHGZTBmJgGAerSd0g%2BMEs%3D\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"image_url = DallEAPIWrapper().run(chain.run(\"halloween night at a haunted museum\"))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# You can click on the link above to display the image for\n",
|
|
"# Or you can try the options below to display the image inline in this notebook\n",
|
|
"\n",
|
|
"try:\n",
|
|
" import google.colab\n",
|
|
" IN_COLAB = True\n",
|
|
"except:\n",
|
|
" IN_COLAB = False\n",
|
|
"\n",
|
|
"if IN_COLAB:\n",
|
|
" from google.colab.patches import cv2_imshow # for image display\n",
|
|
" from skimage import io\n",
|
|
"\n",
|
|
" image = io.imread(image_url) \n",
|
|
" cv2_imshow(image)\n",
|
|
"else:\n",
|
|
" import cv2\n",
|
|
" from skimage import io\n",
|
|
"\n",
|
|
" image = io.imread(image_url) \n",
|
|
" cv2.imshow('image', image)\n",
|
|
" cv2.waitKey(0) #wait for a keyboard input\n",
|
|
" cv2.destroyAllWindows()\n"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Run as a tool with an agent"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
|
"\u001b[32;1m\u001b[1;3m What is the best way to turn this description into an image?\n",
|
|
"Action: Dall-E Image Generator\n",
|
|
"Action Input: A spooky Halloween night at a haunted museum\u001b[0mhttps://oaidalleapiprodscus.blob.core.windows.net/private/org-rocrupyvzgcl4yf25rqq6d1v/user-WsxrbKyP2c8rfhCKWDyMfe8N/img-ogKfqxxOS5KWVSj4gYySR6FY.png?st=2023-01-31T07%3A38%3A25Z&se=2023-01-31T09%3A38%3A25Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-01-30T22%3A19%3A36Z&ske=2023-01-31T22%3A19%3A36Z&sks=b&skv=2021-08-06&sig=XsomxxBfu2CP78SzR9lrWUlbask4wBNnaMsHamy4VvU%3D\n",
|
|
"\n",
|
|
"Observation: \u001b[36;1m\u001b[1;3mhttps://oaidalleapiprodscus.blob.core.windows.net/private/org-rocrupyvzgcl4yf25rqq6d1v/user-WsxrbKyP2c8rfhCKWDyMfe8N/img-ogKfqxxOS5KWVSj4gYySR6FY.png?st=2023-01-31T07%3A38%3A25Z&se=2023-01-31T09%3A38%3A25Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-01-30T22%3A19%3A36Z&ske=2023-01-31T22%3A19%3A36Z&sks=b&skv=2021-08-06&sig=XsomxxBfu2CP78SzR9lrWUlbask4wBNnaMsHamy4VvU%3D\u001b[0m\n",
|
|
"Thought:\u001b[32;1m\u001b[1;3m With the image generated, I can now make my final answer.\n",
|
|
"Final Answer: An image of a Halloween night at a haunted museum can be seen here: https://oaidalleapiprodscus.blob.core.windows.net/private/org-rocrupyvzgcl4yf25rqq6d1v/user-WsxrbKyP2c8rfhCKWDyMfe8N/img-ogKfqxxOS5KWVSj4gYySR6FY.png?st=2023-01-31T07%3A38%3A25Z&se=2023-01-31T09%3A38%3A25Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-01-30T22\u001b[0m\n",
|
|
"\n",
|
|
"\u001b[1m> Finished chain.\u001b[0m\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain.agents import load_tools\n",
|
|
"from langchain.agents import initialize_agent\n",
|
|
"\n",
|
|
"tools = load_tools(['dalle-image-generator'])\n",
|
|
"agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True)\n",
|
|
"output = agent.run(\"Create an image of a halloween night at a haunted museum\")"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"colab": {
|
|
"provenance": []
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "langchain",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.16"
|
|
},
|
|
"vscode": {
|
|
"interpreter": {
|
|
"hash": "3570c8892273ffbeee7ead61dc7c022b73551d9f55fb2584ac0e8e8920b18a89"
|
|
}
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|