main_config changes - WIP
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56
lib/gpt_providers/image_generation/gen_dali2_images.py
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lib/gpt_providers/image_generation/gen_dali2_images.py
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from openai import OpenAI
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from loguru import logger
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import sys
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from .save_image import save_generated_image
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from tenacity import (
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retry,
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stop_after_attempt,
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wait_random_exponential,
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) # for exponential backoff
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@retry(wait=wait_random_exponential(min=1, max=120), stop=stop_after_attempt(6))
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def generate_dalle3_images(img_prompt, image_dir, size="1024x1024", quality="hd", n=1):
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"""
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Generates images using the DALL-E 3 model based on a given text prompt.
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Args:
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img_prompt (str): Text prompt to generate the image.
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image_dir (str): Directory where the generated image will be saved.
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size (str, optional): Size of the generated images. Defaults to "1024x1024".
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quality (str, optional): Quality of the generated images. Defaults to "hd".
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n (int, optional): Number of images to generate. Defaults to 1.
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Returns:
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str: Path to the saved image.
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Raises:
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SystemExit: If an error occurs in image generation or saving.
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"""
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try:
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logger.info("Generating Dall-e-3 image for the blog.")
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client = OpenAI()
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img_generation_response = client.images.generate(
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model="dall-e-3",
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prompt=img_prompt,
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size=size,
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quality=quality,
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n=n
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)
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# Save the generated image locally.
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try:
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img_path = save_generated_image(img_generation_response, image_dir)
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return img_path
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except Exception as err:
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logger.error(f"Failed to Save generated image: {err}")
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except openai.OpenAIError as e:
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logger.error(f"Dalle-3 image generation error: HTTP Status {e.http_status}, Error: {e.error}")
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sys.exit("Exiting due to Dalle-3 image generation error.")
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except Exception as e:
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logger.error(f"Failed to generate images with Dalle3: {e}")
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sys.exit("Exiting due to a general error in image generation.")
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53
lib/gpt_providers/image_generation/gen_dali3_images.py
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53
lib/gpt_providers/image_generation/gen_dali3_images.py
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from openai import OpenAI
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from loguru import logger
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import sys
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from tenacity import (
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retry,
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stop_after_attempt,
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wait_random_exponential,
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) # for exponential backoff
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from .save_image import save_generated_image
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@retry(wait=wait_random_exponential(min=1, max=120), stop=stop_after_attempt(6))
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def generate_dalle3_images(img_prompt, image_dir, size="1024x1024", quality="hd", n=1):
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"""
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Generates images using the DALL-E 3 model based on a given text prompt.
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Args:
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img_prompt (str): Text prompt to generate the image.
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image_dir (str): Directory where the generated image will be saved.
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size (str, optional): Size of the generated images. Defaults to "1024x1024".
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quality (str, optional): Quality of the generated images. Defaults to "hd".
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n (int, optional): Number of images to generate. Defaults to 1.
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Returns:
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str: Path to the saved image.
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Raises:
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SystemExit: If an error occurs in image generation or saving.
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"""
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try:
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logger.info("Generating Dall-e-3 image for the blog.")
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client = OpenAI()
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img_generation_response = client.images.generate(
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model="dall-e-3",
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prompt=img_prompt,
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size=size,
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quality=quality,
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n=n
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)
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img_path = save_generated_image(img_generation_response, image_dir)
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return img_path
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except openai.OpenAIError as e:
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logger.error(f"Dalle-3 image generation error: HTTP Status {e.http_status}, Error: {e.error}")
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sys.exit("Exiting due to Dalle-3 image generation error.")
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except Exception as e:
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logger.error(f"Failed to generate images with Dalle3: {e}")
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sys.exit("Exiting due to a general error in image generation.")
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51
lib/gpt_providers/image_generation/gen_variation_img.py
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lib/gpt_providers/image_generation/gen_variation_img.py
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from loguru import logger
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import sys
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from PIL import Image
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from openai import OpenAI
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def gen_new_from_given_img(img_path, image_dir, num_img=1, img_size="1024x1024", response_format="url"):
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"""
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Generates variations of a given image using OpenAI's image variation API.
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This function takes an existing image, processes it, and generates a specified number of new images based on it.
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These generated images are variations of the original, providing creative flexibility.
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Args:
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img_path (str): Path to the original image file.
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image_dir (str): Directory where the generated images will be saved.
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num_img (int, optional): Number of image variations to generate. Defaults to 1.
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img_size (str, optional): Size of the generated images. Defaults to "1024x1024".
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response_format (str, optional): Format in which the generated images are returned. Defaults to "url".
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Returns:
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str: Path to the saved image variation.
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Raises:
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SystemExit: If a critical error occurs that prevents successful execution.
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"""
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try:
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logger.info(f"Starting image variation generation for: {img_path}")
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# Convert and prepare the image
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png = Image.open(img_path).convert('RGBA')
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background = Image.new('RGBA', png.size, (255, 255, 255))
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alpha_composite = Image.alpha_composite(background, png)
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alpha_composite.save(img_path, 'PNG', quality=80)
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logger.info("Image prepared for variation generation.")
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client = OpenAI()
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variation_response = client.images.create_variation(
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image=open(img_path, "rb"),
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n=num_img,
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size=img_size,
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response_format=response_format
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)
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# Saving the generated image
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generated_image_path = save_generated_image(variation_response, image_dir)
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logger.info(f"Image variation generated and saved to: {generated_image_path}")
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return generated_image_path
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except Exception as e:
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logger.error(f"Error occurred during image variation generation: {e}")
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sys.exit(f"Exiting due to critical error: {e}")
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