Files
Bria-AI-ComfyUI-BRIA-API/nodes/generate_structured_prompt_lite_node_v2.py
T
2026-01-24 20:36:38 +00:00

113 lines
4.4 KiB
Python

import requests
from .common import (
deserialize_and_get_comfy_key,
normalize_images_input,
image_to_base64,
poll_status_until_completed,
)
class GenerateStructuredPromptLiteNodeV2:
"""Lite Structured Prompt Generation Node (multi-image compatible)"""
api_url = "https://engine.prod.bria-api.com/v2/structured_prompt/generate/lite"
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"api_token": ("STRING", {"default": "BRIA_API_TOKEN"}),
"prompt": ("STRING",),
},
"optional": {
"structured_prompt": ("STRING",),
"images": ("IMAGE",),
"seed": ("STRING", {"default": "123456"}),
},
}
RETURN_TYPES = ("STRING", "STRING") # structured_prompts, seeds as comma-separated string
RETURN_NAMES = ("structured_prompt", "seed")
CATEGORY = "API Nodes"
FUNCTION = "execute"
def _validate_token(self, api_token: str):
if api_token.strip() == "" or api_token.strip() == "BRIA_API_TOKEN":
raise Exception("Please insert a valid API token.")
def _build_payload(self, prompt, seed, structured_prompt, processed_image=None):
payload = {"prompt": prompt, "seed": int(seed)}
if structured_prompt:
payload["structured_prompt"] = structured_prompt
if processed_image is not None:
payload["images"] = [image_to_base64(processed_image)]
return payload
def execute(self, api_token, prompt, seed, structured_prompt, images=None):
self._validate_token(api_token)
api_token = deserialize_and_get_comfy_key(api_token)
images_list = normalize_images_input(images) if images is not None else [None]
# Seeds per image
if isinstance(seed, str):
seed_values = [int(s.strip()) for s in seed.split(",")]
else:
seed_values = [seed]
if len(seed_values) < len(images_list):
seed_values += [seed_values[-1]] * (len(images_list) - len(seed_values))
# Structured prompts per image
if isinstance(structured_prompt, str):
structured_prompts_list = structured_prompt.split("\n---\n")
elif isinstance(structured_prompt, list):
structured_prompts_list = structured_prompt
else:
structured_prompts_list = [""] * len(images_list)
if len(structured_prompts_list) < len(images_list):
structured_prompts_list += [structured_prompts_list[-1]] * (len(images_list) - len(structured_prompts_list))
batch_structured_prompts = []
batch_seeds = []
for idx, image in enumerate(images_list):
try:
payload = self._build_payload(
prompt,
seed_values[idx],
structured_prompts_list[idx],
image,
)
headers = {"Content-Type": "application/json", "api_token": api_token}
response = requests.post(self.api_url, json=payload, headers=headers)
if response.status_code not in (200, 202):
raise Exception(
f"API request failed with status code {response.status_code}: {response.text}"
)
response_dict = response.json()
print(f"GenerateStructuredPromptLiteNodeV2 - Initial request successful for image {idx}, polling for completion...")
status_url = response_dict.get("status_url")
if not status_url:
raise Exception("No status_url returned from API")
final_response = poll_status_until_completed(status_url, api_token)
result = final_response.get("result", {})
structured_prompt_result = result.get("structured_prompt", "")
used_seed = result.get("seed", seed_values[idx])
batch_structured_prompts.append(structured_prompt_result)
batch_seeds.append(str(used_seed))
except Exception as e:
print(f"[GenerateStructuredPromptLiteNodeV2] Skipping iteration {idx} due to error: {e}")
batch_structured_prompts.append("")
batch_seeds.append(str(seed_values[idx]))
combined_prompts = "\n---\n".join(batch_structured_prompts)
combined_seeds = ",".join(batch_seeds)
return combined_prompts, combined_seeds