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Bria-AI-ComfyUI-BRIA-API/nodes/replace_bg_node.py
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2025-09-16 17:11:06 +00:00

124 lines
4.9 KiB
Python

import numpy as np
import requests
from PIL import Image
import io
import torch
from .common import image_to_base64, preprocess_image, preprocess_mask, poll_status_until_completed
class ReplaceBgNode():
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"image": ("IMAGE",), # Input image from another node
"api_key": ("STRING", {"default": "BRIA_API_TOKEN"}), # API Key input with a default value
},
"optional": {
"mode": (["base", "fast", "high_control"], {"default": "base"}),
"prompt": ("STRING",),
"ref_images": ("IMAGE",),
"refine_prompt": ("BOOLEAN", {"default": True}),
"enhance_ref_images": ("BOOLEAN", {"default": True}),
"original_quality": ("BOOLEAN", {"default": False}),
"negative_prompt": ("STRING", {"default": None}),
"seed": ("INT", {"default": 681794}),
"visual_output_content_moderation": ("BOOLEAN", {"default": False}),
"prompt_content_moderation": ("BOOLEAN", {"default": False}),
"force_background_detection": ("BOOLEAN", {"default": False}),
}
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("output_image",)
CATEGORY = "API Nodes"
FUNCTION = "execute" # This is the method that will be executed
def __init__(self):
self.api_url = "https://engine.prod.bria-api.com/v2/image/edit/replace_background" # Replace BG API URL
# Define the execute method as expected by ComfyUI
def execute(self, image, mode,
refine_prompt,
original_quality,
negative_prompt,
seed,
api_key,
visual_output_content_moderation,
prompt_content_moderation,
enhance_ref_images,
force_background_detection,
prompt=None,
ref_images=None,):
if api_key.strip() == "" or api_key.strip() == "BRIA_API_TOKEN":
raise Exception("Please insert a valid API key.")
# Check if image and mask are tensors, if so, convert to NumPy arrays
if isinstance(image, torch.Tensor):
image = preprocess_image(image)
# Convert the image to Base64 string
image_base64 = image_to_base64(image)
if ref_images is not None:
ref_images = preprocess_image(ref_images)
ref_images = [image_to_base64(ref_images)]
else:
ref_images=[]
# Prepare the API request payload for v2 API
payload = {
"image": image_base64,
"mode": mode,
"prompt": prompt,
"ref_images":ref_images,
"refine_prompt": refine_prompt,
"original_quality": original_quality,
"negative_prompt": negative_prompt,
"seed": seed,
"prompt_content_moderation": prompt_content_moderation,
"visual_output_content_moderation":visual_output_content_moderation,
"enhance_ref_images":enhance_ref_images,
"force_background_detection": force_background_detection
}
headers = {
"Content-Type": "application/json",
"api_token": f"{api_key}"
}
try:
response = requests.post(self.api_url, json=payload, headers=headers)
if response.status_code == 200 or response.status_code == 202:
print('Initial replace background request successful, polling for completion...')
response_dict = response.json()
status_url = response_dict.get('status_url')
request_id = response_dict.get('request_id')
if not status_url:
raise Exception("No status_url returned from API")
print(f"Request ID: {request_id}, Status URL: {status_url}")
# Poll status URL until completion
final_response = poll_status_until_completed(status_url, api_key)
# Get the result image URL
result_image_url = final_response['result']['image_url']
# Download and process the result image
image_response = requests.get(result_image_url)
result_image = Image.open(io.BytesIO(image_response.content))
result_image = result_image.convert("RGB")
result_image = np.array(result_image).astype(np.float32) / 255.0
result_image = torch.from_numpy(result_image)[None,]
return (result_image,)
else:
raise Exception(f"Error: API request failed with status code {response.status_code}")
except Exception as e:
raise Exception(f"{e}")