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75 lines
3.1 KiB
75 lines
3.1 KiB
1 year ago
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import os
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import datetime
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from dotenv import load_dotenv
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from swarms.models.stable_diffusion import StableDiffusion
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from swarms.models.gpt4_vision_api import GPT4VisionAPI
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from swarms.models import OpenAIChat
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from swarms.structs import Agent
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# Load environment variables
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load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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stability_api_key = os.getenv("STABILITY_API_KEY")
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# Initialize the models
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vision_api = GPT4VisionAPI(api_key=openai_api_key)
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sd_api = StableDiffusion(api_key=stability_api_key)
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gpt_api = OpenAIChat(openai_api_key=openai_api_key)
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class Idea2Image(Agent):
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def __init__(self, llm, vision_api):
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super().__init__(llm=llm)
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self.vision_api = vision_api
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def run(self, initial_prompt, num_iterations, run_folder):
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current_prompt = initial_prompt
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for i in range(num_iterations):
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print(f"Iteration {i}: Image generation and analysis")
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if i == 0:
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current_prompt = self.enrich_prompt(current_prompt)
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print(f"Enriched Prompt: {current_prompt}")
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img = sd_api.generate_and_move_image(current_prompt, i, run_folder)
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if not img:
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print("Failed to generate image")
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break
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print(f"Generated image at: {img}")
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analysis = self.vision_api.run(img, current_prompt) if img else None
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if analysis:
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current_prompt += ". " + analysis[:500] # Ensure the analysis is concise
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print(f"Image Analysis: {analysis}")
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else:
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print(f"Failed to analyze image at: {img}")
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def enrich_prompt(self, prompt):
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enrichment_task = (
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"Create a concise and effective image generation prompt within 400 characters or less, "
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"based on Stable Diffusion and Dalle best practices. Starting prompt: \n\n'"
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f"{prompt}'\n\n"
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"Improve the prompt with any applicable details or keywords by considering the following aspects: \n"
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"1. Subject details (like actions, emotions, environment) \n"
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"2. Artistic style (such as surrealism, hyperrealism) \n"
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"3. Medium (digital painting, oil on canvas) \n"
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"4. Color themes and lighting (like warm colors, cinematic lighting) \n"
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"5. Composition and framing (close-up, wide-angle) \n"
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"6. Additional elements (like a specific type of background, weather conditions) \n"
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"7. Any other artistic or thematic details that can make the image more vivid and compelling."
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)
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llm_result = self.llm.generate([enrichment_task])
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return llm_result.generations[0][0].text[:500] if llm_result.generations else None
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# User input and setup
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user_prompt = input("Prompt for image generation: ")
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num_iterations = int(input("Enter the number of iterations for image improvement: "))
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run_folder = os.path.join("runs", datetime.datetime.now().strftime("%Y%m%d_%H%M%S"))
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os.makedirs(run_folder, exist_ok=True)
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# Initialize and run the agent
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idea2image_agent = Idea2Image(gpt_api, vision_api)
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idea2image_agent.run(user_prompt, num_iterations, run_folder)
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print("Image improvement process completed.")
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