wehub-resource-sync
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from urllib.request import urlopen
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try:
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from PIL import Image
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pil_available = True
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except ImportError:
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pil_available = False
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from semantic_kernel import Kernel
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from semantic_kernel.connectors.ai import PromptExecutionSettings
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from semantic_kernel.connectors.ai.open_ai import OpenAITextToImage
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from semantic_kernel.functions import KernelArguments
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"""
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This sample demonstrates how to use the OpenAI text-to-image service to generate an image from a prompt.
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It uses the OpenAITextToImage class to create an image based on the provided prompt and settings.
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The generated image is then displayed using the PIL library if available.
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"""
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async def main():
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kernel = Kernel()
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kernel.add_service(OpenAITextToImage(service_id="dalle3"))
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result = await kernel.invoke_prompt(
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prompt="Generate a image of {{$topic}} in the style of a {{$style}}",
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arguments=KernelArguments(
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topic="a flower vase",
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style="painting",
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settings=PromptExecutionSettings(
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service_id="dalle3",
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width=1024,
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height=1024,
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quality="hd",
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style="vivid",
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),
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),
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)
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if result and pil_available:
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img = Image.open(urlopen(str(result.value[0].uri))) # nosec
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img.show()
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if __name__ == "__main__":
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asyncio.run(main())
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