""" Image Generation Module for AutoGPT.""" import io import os.path import uuid from base64 import b64decode import openai import requests from PIL import Image from autogpt.config import Config from autogpt.workspace import path_in_workspace CFG = Config() def generate_image(prompt: str) -> str: """Generate an image from a prompt. Args: prompt (str): The prompt to use Returns: str: The filename of the image """ filename = f"{str(uuid.uuid4())}.jpg" # DALL-E if CFG.image_provider == "dalle": return generate_image_with_dalle(prompt, filename) elif CFG.image_provider == "sd": return generate_image_with_hf(prompt, filename) else: return "No Image Provider Set" def generate_image_with_hf(prompt: str, filename: str) -> str: """Generate an image with HuggingFace's API. Args: prompt (str): The prompt to use filename (str): The filename to save the image to Returns: str: The filename of the image """ API_URL = ( "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4" ) if CFG.huggingface_api_token is None: raise ValueError( "You need to set your Hugging Face API token in the config file." ) headers = {"Authorization": f"Bearer {CFG.huggingface_api_token}"} response = requests.post( API_URL, headers=headers, json={ "inputs": prompt, }, ) image = Image.open(io.BytesIO(response.content)) print(f"Image Generated for prompt:{prompt}") image.save(path_in_workspace(filename)) return f"Saved to disk:{filename}" def generate_image_with_dalle(prompt: str, filename: str) -> str: """Generate an image with DALL-E. Args: prompt (str): The prompt to use filename (str): The filename to save the image to Returns: str: The filename of the image """ openai.api_key = CFG.openai_api_key response = openai.Image.create( prompt=prompt, n=1, size="256x256", response_format="b64_json", ) print(f"Image Generated for prompt:{prompt}") image_data = b64decode(response["data"][0]["b64_json"]) with open(path_in_workspace(filename), mode="wb") as png: png.write(image_data) return f"Saved to disk:{filename}"