Generate Images from Text Prompts
A LlamaIndex tool that enables AI agents to generate images and variations using the OpenAI Image endpoint.
Why it matters
Leverage AI to create compelling visual content from textual descriptions. This tool integrates with OpenAI's image generation capabilities, allowing for the creation of original images and variations based on existing ones.
Outcomes
What it gets done
Generate images based on detailed text prompts.
Create variations of existing images using their URLs.
Integrate image generation into automated workflows.
Display generated images within notebook environments.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/li-tool-tools-text-to-image | bash Capabilities
What this skill does
Creates images from text prompts or templates.
Writes source code or scripts from a description.
Overview
Text to Image Tool
What it does
Text to Image Tool equips LlamaIndex agents with the ability to generate images from text prompts and create variations of existing images using OpenAI's Image endpoint. It provides three core functions: generating multiple images from a prompt with configurable resolution, displaying images inline for Jupyter notebooks using matplotlib, and creating variations of images from URLs.
How it connects
Use this tool when building conversational AI agents that need to generate visual content on demand, such as creative assistants, content generation workflows, or retrieval-augmented generation systems that combine knowledge retrieval with image creation. The source material demonstrates usage with agents that can process natural language requests like "show 2 images of a beautiful beach with a palm tree at sunset" followed by "make the second image higher quality." Avoid this tool if your use case requires advanced image editing beyond variations such as cropping, compositing, or style transf
Source README
Text to Image Tool
This tool allows Agents to use the OpenAI Image endpoint to generate and create variations of images.
Usage
This tool has more extensive example usage documented in a Jupyter notebook here
Another example showcases retrieval augmentation over a knowledge corpus with text-to-image. Notebook.
from llama_index.tools.text_to_image import TextToImageToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
openai.api_key = "sk-your-key"
tool_spec = TextToImageToolSpec()
# OR
tool_spec = TextToImageToolSpec(api_key="sk-your-key")
agent = FunctionAgent(
tools=tool_spec.to_tool_list(),
llm=OpenAI(model="gpt-4.1"),
)
# Context to store chat history
from llama_index.core.workflow import Context
ctx = Context(agent)
print(
await agent.run(
"show 2 images of a beautiful beach with a palm tree at sunset",
ctx=ctx,
)
)
print(await agent.run("make the second image higher quality", ctx=ctx))
generate_images: Generate images from a prompt, specifying the number of images and resolutionshow_images: Show the images using matplot, useful for Jupyter notebooksgenerate_image_variation: Generate a variation of an image given a URL.
This loader is designed to be used as a way to load data as a Tool in a Agent.
Discussion
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