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68 lines
1.6 KiB
Python
68 lines
1.6 KiB
Python
import io
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import os.path
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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.config import Config
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cfg = Config()
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working_directory = "auto_gpt_workspace"
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def generate_image(prompt):
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filename = str(uuid.uuid4()) + ".jpg"
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# DALL-E
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if cfg.image_provider == "dalle":
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openai.api_key = cfg.openai_api_key
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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="256x256",
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response_format="b64_json",
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)
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print("Image Generated for prompt:" + prompt)
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image_data = b64decode(response["data"][0]["b64_json"])
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with open(working_directory + "/" + filename, mode="wb") as png:
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png.write(image_data)
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return "Saved to disk:" + filename
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# STABLE DIFFUSION
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elif cfg.image_provider == "sd":
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API_URL = (
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"https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
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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 = {"Authorization": "Bearer " + cfg.huggingface_api_token}
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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("Image Generated for prompt:" + prompt)
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image.save(os.path.join(working_directory, filename))
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return "Saved to disk:" + filename
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else:
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return "No Image Provider Set"
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