image_conditioning.py•2.33 kB
import base64
import json
from typing import Dict, Any
from mcp import McpError
from ..exceptions import ImageError
from ..utils.bedrock import generate_image
from ..utils.image_storage import save_image
async def image_conditioning(
image_path: str,
prompt: str,
negative_prompt: str = "",
control_mode: str = "CANNY_EDGE",
height: int = 512,
width: int = 512,
cfg_scale: float = 8.0,
output_path: str = None,
) -> Dict[str, Any]:
"""
Generate an image that follows the layout and composition of a reference image.
Args:
image_path: File path of the reference image
prompt: Text describing the image to be generated
negative_prompt: Text specifying attributes to exclude from generation
control_mode: Control mode (CANNY_EDGE, etc.)
height: Output image height (pixels)
width: Output image width (pixels)
cfg_scale: Prompt matching degree (1-20)
output_path: Absolute path to save the image
Returns:
Dict: Dictionary containing the file path of the generated image
"""
try:
# Read image file and encode to base64
with open(image_path, "rb") as image_file:
input_image = base64.b64encode(image_file.read()).decode('utf8')
body = json.dumps({
"taskType": "TEXT_IMAGE",
"textToImageParams": {
"text": prompt,
"negativeText": negative_prompt,
"conditionImage": input_image,
"controlMode": control_mode
},
"imageGenerationConfig": {
"numberOfImages": 1,
"height": height,
"width": width,
"cfgScale": cfg_scale
}
})
# Generate image
image_bytes = generate_image(body)
# Save image
image_info = save_image(image_bytes, output_path=output_path)
# Generate result
result = {
"image_path": image_info["image_path"],
"message": f"Image conditioning completed successfully. Saved location: {image_info['image_path']}"
}
return result
except Exception as e:
raise McpError(f"Error occurred while image conditioning: {str(e)}")