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  1. 27 maj 2024 · Generate an image: Use the client.images.generate method to generate an image based on the provided prompt. Extract the URL: Access the URL of the generated image from the response. Download and save the image: Use the requests library to download the image and save it locally.

  2. 11 lis 2023 · These libraries include openai for making API calls, datetime for handling timestamps, base64 and Pillow for image processing, requests for downloading images, and Tkinter for displaying the generated images.

  3. Learn how to generate and save images using OpenAI's DALL-E 3. This recipe covers specifying the model, prompt, size, and quality, downloading the image, saving it as a file, and handling errors if retrieval fails.

  4. To download the image from image_url to photo.jpg: import requests from pathlib import Path Path("photo.jpg").write_bytes(requests.get(image_url).content)

  5. 28 mar 2024 · With Diffusers, we can easily generate numerous images by simply writing a few lines of Python code, without the need to worry about the architecture behind it. In our case, we will be utilizing the cutting-edge StableDiffusionPipeline provided by the Diffusers library.

  6. Use the image generation capabilities of the OpenAI API; Create images from text prompts using Python; Create variations of your generated image; Convert Base64 JSON responses to PNG image files

  7. pypi.org › project › pyimaginepyimagine - PyPI

    27 sty 2024 · Generate inspired images based on predefined prompts and styles. Apply variations to images based on prompts, strengths, and styles. Enhance image resolution and quality using AI-powered upscaling.

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