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Original file line number | Diff line number | Diff line change |
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import requests | ||
import io | ||
import os.path | ||
from PIL import Image | ||
from config import Config | ||
import uuid | ||
import openai | ||
from base64 import b64decode | ||
|
||
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 | ||
if cfg.image_provider == 'dalle': | ||
|
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openai.api_key = cfg.openai_api_key | ||
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response = openai.Image.create( | ||
prompt=prompt, | ||
n=1, | ||
size="256x256", | ||
response_format="b64_json", | ||
) | ||
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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: | ||
png.write(image_data) | ||
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return "Saved to disk:" + filename | ||
|
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# STABLE DIFFUSION | ||
elif cfg.image_provider == 'sd': | ||
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API_URL = "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4" | ||
headers = {"Authorization": "Bearer " + cfg.huggingface_api_token} | ||
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response = requests.post(API_URL, headers=headers, json={ | ||
"inputs": prompt, | ||
}) | ||
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image = Image.open(io.BytesIO(response.content)) | ||
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: | ||
return "No Image Provider Set" |