ignore third party
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""" Image Generation Module for AutoGPT."""
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import io
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import uuid
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from base64 import b64decode
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import openai
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import requests
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from PIL import Image
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from autogpt.commands.command import command
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from autogpt.config import Config
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CFG = Config()
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@command("generate_image", "Generate Image", '"prompt": "<prompt>"', CFG.image_provider)
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def generate_image(prompt: str, size: int = 256) -> str:
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"""Generate an image from a prompt.
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Args:
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prompt (str): The prompt to use
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size (int, optional): The size of the image. Defaults to 256. (Not supported by HuggingFace)
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Returns:
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str: The filename of the image
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"""
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filename = f"{CFG.workspace_path}/{str(uuid.uuid4())}.jpg"
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# DALL-E
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if CFG.image_provider == "dalle":
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return generate_image_with_dalle(prompt, filename, size)
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# HuggingFace
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elif CFG.image_provider == "huggingface":
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return generate_image_with_hf(prompt, filename)
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# SD WebUI
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elif CFG.image_provider == "sdwebui":
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return generate_image_with_sd_webui(prompt, filename, size)
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return "No Image Provider Set"
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def generate_image_with_hf(prompt: str, filename: str) -> str:
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"""Generate an image with HuggingFace's API.
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Args:
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prompt (str): The prompt to use
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filename (str): The filename to save the image to
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Returns:
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str: The filename of the image
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"""
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API_URL = (
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f"https://api-inference.huggingface.co/models/{CFG.huggingface_image_model}"
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)
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if CFG.huggingface_api_token is None:
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raise ValueError(
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"You need to set your Hugging Face API token in the config file."
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)
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headers = {
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"Authorization": f"Bearer {CFG.huggingface_api_token}",
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"X-Use-Cache": "false",
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}
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response = requests.post(
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API_URL,
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headers=headers,
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json={
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"inputs": prompt,
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},
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)
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image = Image.open(io.BytesIO(response.content))
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print(f"Image Generated for prompt:{prompt}")
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image.save(filename)
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return f"Saved to disk:{filename}"
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def generate_image_with_dalle(prompt: str, filename: str, size: int) -> str:
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"""Generate an image with DALL-E.
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Args:
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prompt (str): The prompt to use
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filename (str): The filename to save the image to
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size (int): The size of the image
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Returns:
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str: The filename of the image
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"""
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openai.api_key = CFG.openai_api_key
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# Check for supported image sizes
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if size not in [256, 512, 1024]:
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closest = min([256, 512, 1024], key=lambda x: abs(x - size))
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print(
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f"DALL-E only supports image sizes of 256x256, 512x512, or 1024x1024. Setting to {closest}, was {size}."
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)
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size = closest
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response = openai.Image.create(
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prompt=prompt,
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n=1,
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size=f"{size}x{size}",
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response_format="b64_json",
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)
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print(f"Image Generated for prompt:{prompt}")
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image_data = b64decode(response["data"][0]["b64_json"])
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with open(filename, mode="wb") as png:
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png.write(image_data)
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return f"Saved to disk:{filename}"
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def generate_image_with_sd_webui(
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prompt: str,
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filename: str,
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size: int = 512,
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negative_prompt: str = "",
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extra: dict = {},
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) -> str:
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"""Generate an image with Stable Diffusion webui.
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Args:
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prompt (str): The prompt to use
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filename (str): The filename to save the image to
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size (int, optional): The size of the image. Defaults to 256.
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negative_prompt (str, optional): The negative prompt to use. Defaults to "".
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extra (dict, optional): Extra parameters to pass to the API. Defaults to {}.
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Returns:
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str: The filename of the image
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"""
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# Create a session and set the basic auth if needed
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s = requests.Session()
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if CFG.sd_webui_auth:
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username, password = CFG.sd_webui_auth.split(":")
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s.auth = (username, password or "")
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# Generate the images
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response = requests.post(
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f"{CFG.sd_webui_url}/sdapi/v1/txt2img",
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json={
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"sampler_index": "DDIM",
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"steps": 20,
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"cfg_scale": 7.0,
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"width": size,
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"height": size,
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"n_iter": 1,
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**extra,
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},
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)
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print(f"Image Generated for prompt:{prompt}")
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# Save the image to disk
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response = response.json()
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b64 = b64decode(response["images"][0].split(",", 1)[0])
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image = Image.open(io.BytesIO(b64))
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image.save(filename)
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return f"Saved to disk:{filename}"
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