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import logging |
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import os |
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import random |
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import time |
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import traceback |
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from io import BytesIO |
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import gradio as gr |
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import requests |
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from PIL import Image, PngImagePlugin |
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from dotenv import load_dotenv |
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logging.basicConfig( |
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level=logging.INFO, |
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' |
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) |
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logger = logging.getLogger(__name__) |
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load_dotenv() |
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API_TOKEN = os.environ.get("HIDREAM_API_TOKEN") |
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API_REQUEST_URL = os.environ.get("API_REQUEST_URL") |
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API_RESULT_URL = os.environ.get("API_RESULT_URL") |
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API_IMAGE_URL = os.environ.get("API_IMAGE_URL") |
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API_VERSION = os.environ.get("API_VERSION") |
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API_MODEL_NAME = os.environ.get("API_MODEL_NAME") |
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MAX_RETRY_COUNT = int(os.environ.get("MAX_RETRY_COUNT")) |
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POLL_INTERVAL = float(os.environ.get("POLL_INTERVAL")) |
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MAX_POLL_TIME = int(os.environ.get("MAX_POLL_TIME")) |
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ASPECT_RATIO_OPTIONS = ["1:1", "3:4", "4:3", "9:16", "16:9"] |
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logger.info(f"API configuration loaded: REQUEST_URL={API_REQUEST_URL}, RESULT_URL={API_RESULT_URL}, VERSION={API_VERSION}, MODEL={API_MODEL_NAME}") |
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logger.info(f"Retry configuration: MAX_RETRY_COUNT={MAX_RETRY_COUNT}, POLL_INTERVAL={POLL_INTERVAL}s, MAX_POLL_TIME={MAX_POLL_TIME}s") |
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class APIError(Exception): |
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"""Custom exception for API-related errors""" |
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pass |
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def create_request(prompt, aspect_ratio="1:1", seed=-1): |
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""" |
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Create an image generation request to the API. |
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Args: |
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prompt (str): Text prompt describing the image to generate |
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aspect_ratio (str): Aspect ratio of the output image |
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seed (int): Seed for reproducibility, -1 for random |
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Returns: |
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tuple: (task_id, seed) - Task ID if successful and the seed used |
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Raises: |
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APIError: If the API request fails |
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""" |
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logger.info(f"Starting create_request with prompt='{prompt[:50]}...', aspect_ratio={aspect_ratio}, seed={seed}") |
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if not prompt or not prompt.strip(): |
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logger.error("Empty prompt provided to create_request") |
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raise ValueError("Prompt cannot be empty") |
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if aspect_ratio not in ASPECT_RATIO_OPTIONS: |
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logger.error(f"Invalid aspect ratio: {aspect_ratio}. Valid options: {', '.join(ASPECT_RATIO_OPTIONS)}") |
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raise ValueError(f"Invalid aspect ratio. Must be one of: {', '.join(ASPECT_RATIO_OPTIONS)}") |
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if seed == -1: |
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seed = random.randint(1, 1000000) |
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logger.info(f"Generated random seed: {seed}") |
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try: |
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seed = int(seed) |
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if seed < -1 or seed > 1000000: |
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logger.info(f"Invalid seed value: {seed}, forcing to 8888") |
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seed = 8888 |
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except (TypeError, ValueError) as e: |
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logger.error(f"Seed validation failed: {str(e)}") |
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raise ValueError(f"Seed must be an integer but got {seed}") |
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headers = { |
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"Authorization": f"Bearer {API_TOKEN}", |
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"X-accept-language": "en", |
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"X-source": "api", |
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"Content-Type": "application/json", |
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} |
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generate_data = { |
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"module": "txt2img", |
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"prompt": prompt, |
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"params": { |
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"batch_size": 1, |
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"wh_ratio": aspect_ratio, |
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"seed": seed |
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}, |
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"version": API_VERSION, |
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} |
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retry_count = 0 |
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while retry_count < MAX_RETRY_COUNT: |
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try: |
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logger.info(f"Sending API request [attempt {retry_count+1}/{MAX_RETRY_COUNT}] for prompt: '{prompt[:50]}...'") |
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response = requests.post(API_REQUEST_URL, json=generate_data, headers=headers, timeout=10) |
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logger.info(f"API request response status: {response.status_code}") |
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response.raise_for_status() |
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result = response.json() |
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if not result or "result" not in result: |
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logger.error(f"Invalid API response format: {str(result)}") |
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raise APIError(f"Invalid response format from API when sending request: {str(result)}") |
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task_id = result.get("result", {}).get("task_id") |
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if not task_id: |
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logger.error(f"No task ID in API response: {str(result)}") |
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raise APIError(f"No task ID returned from API: {str(result)}") |
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logger.info(f"Successfully created task with ID: {task_id}, seed: {seed}") |
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return task_id, seed |
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except requests.exceptions.Timeout: |
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retry_count += 1 |
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logger.warning(f"Request timed out. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") |
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time.sleep(1) |
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except requests.exceptions.HTTPError as e: |
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status_code = e.response.status_code |
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error_message = f"HTTP error {status_code}" |
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try: |
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error_detail = e.response.json() |
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error_message += f": {error_detail}" |
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logger.error(f"API response error content: {error_detail}") |
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except: |
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logger.error(f"Could not parse API error response as JSON. Raw content: {e.response.content[:500]}") |
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if status_code == 401: |
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logger.error(f"Authentication failed with API token. Status code: {status_code}") |
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raise APIError("Authentication failed. Please check your API token.") |
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elif status_code == 429: |
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retry_count += 1 |
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wait_time = min(2 ** retry_count, 10) |
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logger.warning(f"Rate limit exceeded. Waiting {wait_time}s before retry ({retry_count}/{MAX_RETRY_COUNT})...") |
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time.sleep(wait_time) |
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elif 400 <= status_code < 500: |
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try: |
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error_detail = e.response.json() |
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error_message += f": {error_detail.get('message', 'Client error')}" |
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except: |
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pass |
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logger.error(f"Client error: {error_message}, Prompt: '{prompt[:50]}...', Status: {status_code}") |
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raise APIError(error_message) |
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else: |
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retry_count += 1 |
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logger.warning(f"Server error: {error_message}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") |
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time.sleep(1) |
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except requests.exceptions.RequestException as e: |
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logger.error(f"Request error: {str(e)}") |
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logger.debug(f"Request error details: {traceback.format_exc()}") |
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raise APIError(f"Failed to connect to API: {str(e)}") |
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except Exception as e: |
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logger.error(f"Unexpected error in create_request: {str(e)}") |
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logger.error(f"Full traceback: {traceback.format_exc()}") |
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raise APIError(f"Unexpected error: {str(e)}") |
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logger.error(f"Failed to create request after {MAX_RETRY_COUNT} retries for prompt: '{prompt[:50]}...'") |
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raise APIError(f"Failed after {MAX_RETRY_COUNT} retries") |
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def get_results(task_id): |
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""" |
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Check the status of an image generation task. |
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Args: |
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task_id (str): The task ID to check |
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Returns: |
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dict: Task result information |
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Raises: |
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APIError: If the API request fails |
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""" |
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logger.debug(f"Checking status for task ID: {task_id}") |
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if not task_id: |
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logger.error("Empty task ID provided to get_results") |
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raise ValueError("Task ID cannot be empty") |
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url = f"{API_RESULT_URL}?task_id={task_id}" |
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headers = { |
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"Authorization": f"Bearer {API_TOKEN}", |
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"X-accept-language": "en", |
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} |
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try: |
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response = requests.get(url, headers=headers, timeout=10) |
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logger.debug(f"Status check response code: {response.status_code}") |
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response.raise_for_status() |
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result = response.json() |
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if not result or "result" not in result: |
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logger.warning(f"Invalid response format from API when checking task {task_id}: {str(result)}") |
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raise APIError(f"Invalid response format from API when checking task {task_id}: {str(result)}") |
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return result |
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except requests.exceptions.Timeout: |
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logger.warning(f"Request timed out when checking task {task_id}") |
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return None |
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except requests.exceptions.HTTPError as e: |
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status_code = e.response.status_code |
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logger.warning(f"HTTP error {status_code} when checking task {task_id}") |
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try: |
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error_content = e.response.json() |
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logger.error(f"Error response content: {error_content}") |
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except: |
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logger.error(f"Could not parse error response as JSON. Raw content: {e.response.content[:500]}") |
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if status_code == 401: |
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logger.error(f"Authentication failed when checking task {task_id}") |
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raise APIError(f"Authentication failed. Please check your API token when checking task {task_id}") |
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elif 400 <= status_code < 500: |
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try: |
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error_detail = e.response.json() |
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error_message = f"HTTP error {status_code}: {error_detail.get('message', 'Client error')}" |
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except: |
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error_message = f"HTTP error {status_code}" |
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logger.error(error_message) |
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return None |
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else: |
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logger.warning(f"Server error {status_code} when checking task {task_id}") |
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return None |
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except requests.exceptions.RequestException as e: |
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logger.warning(f"Network error when checking task {task_id}: {str(e)}") |
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logger.debug(f"Network error details: {traceback.format_exc()}") |
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return None |
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except Exception as e: |
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logger.error(f"Unexpected error when checking task {task_id}: {str(e)}") |
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logger.error(f"Full traceback: {traceback.format_exc()}") |
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return None |
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def download_image(image_url): |
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""" |
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Download an image from a URL and return it as a PIL Image. |
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Converts WebP to PNG format while preserving original image data. |
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Args: |
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image_url (str): URL of the image |
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Returns: |
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PIL.Image: Downloaded image object converted to PNG format |
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Raises: |
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APIError: If the download fails |
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""" |
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logger.info(f"Starting download_image from URL: {image_url}") |
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if not image_url: |
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logger.error("Empty image URL provided to download_image") |
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raise ValueError("Image URL cannot be empty when downloading image") |
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retry_count = 0 |
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while retry_count < MAX_RETRY_COUNT: |
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try: |
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logger.info(f"Downloading image [attempt {retry_count+1}/{MAX_RETRY_COUNT}] from {image_url}") |
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response = requests.get(image_url, timeout=15) |
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logger.debug(f"Image download response status: {response.status_code}, Content-Type: {response.headers.get('Content-Type')}, Content-Length: {response.headers.get('Content-Length')}") |
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response.raise_for_status() |
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image = Image.open(BytesIO(response.content)) |
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logger.info(f"Image opened successfully. Format: {image.format}, Size: {image.size[0]}x{image.size[1]}, Mode: {image.mode}") |
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original_metadata = {} |
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for key, value in image.info.items(): |
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if isinstance(key, str) and isinstance(value, str): |
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original_metadata[key] = value |
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logger.debug(f"Original image metadata: {original_metadata}") |
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if image.format != 'PNG': |
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logger.info(f"Converting image from {image.format} to PNG format") |
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png_buffer = BytesIO() |
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if 'A' in image.getbands(): |
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logger.debug("Preserving alpha channel in image conversion") |
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image_to_save = image |
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else: |
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logger.debug("Converting image to RGB mode") |
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image_to_save = image.convert('RGB') |
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image_to_save.save(png_buffer, format='PNG') |
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png_buffer.seek(0) |
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image = Image.open(png_buffer) |
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logger.debug(f"Image converted to PNG. New size: {image.size[0]}x{image.size[1]}, Mode: {image.mode}") |
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for key, value in original_metadata.items(): |
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image.info[key] = value |
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logger.debug("Original metadata preserved in converted image") |
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logger.info(f"Successfully downloaded and processed image: {image.size[0]}x{image.size[1]}") |
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return image |
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except requests.exceptions.Timeout: |
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retry_count += 1 |
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logger.warning(f"Download timed out. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") |
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time.sleep(1) |
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except requests.exceptions.HTTPError as e: |
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status_code = e.response.status_code |
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logger.error(f"HTTP error {status_code} when downloading image from {image_url}") |
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try: |
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error_content = e.response.text[:500] |
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logger.error(f"Error response content: {error_content}") |
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except: |
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logger.error("Could not read error response content") |
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if 400 <= status_code < 500: |
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error_message = f"HTTP error {status_code} when downloading image" |
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logger.error(error_message) |
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raise APIError(error_message) |
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else: |
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retry_count += 1 |
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logger.warning(f"Server error {status_code}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") |
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time.sleep(1) |
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except requests.exceptions.RequestException as e: |
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retry_count += 1 |
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logger.warning(f"Network error during image download: {str(e)}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") |
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logger.debug(f"Network error details: {traceback.format_exc()}") |
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time.sleep(1) |
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except Exception as e: |
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logger.error(f"Error processing image from {image_url}: {str(e)}") |
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logger.error(f"Full traceback: {traceback.format_exc()}") |
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raise APIError(f"Failed to process image: {str(e)}") |
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logger.error(f"Failed to download image from {image_url} after {MAX_RETRY_COUNT} retries") |
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raise APIError(f"Failed to download image after {MAX_RETRY_COUNT} retries") |
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|
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def add_metadata_to_image(image, metadata): |
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""" |
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Add metadata to a PIL image. |
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Args: |
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image (PIL.Image): The image to add metadata to |
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metadata (dict): Metadata to add to the image |
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Returns: |
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PIL.Image: Image with metadata |
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""" |
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logger.debug(f"Adding metadata to image: {metadata}") |
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if not image: |
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logger.error("Null image provided to add_metadata_to_image") |
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return None |
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try: |
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existing_metadata = {} |
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for key, value in image.info.items(): |
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if isinstance(key, str) and isinstance(value, str): |
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existing_metadata[key] = value |
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logger.debug(f"Existing image metadata: {existing_metadata}") |
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all_metadata = {**existing_metadata, **metadata} |
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logger.debug(f"Combined metadata: {all_metadata}") |
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meta = PngImagePlugin.PngInfo() |
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for key, value in all_metadata.items(): |
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meta.add_text(key, str(value)) |
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buffer = BytesIO() |
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image.save(buffer, format='PNG', pnginfo=meta) |
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logger.debug("Image saved to buffer with metadata") |
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buffer.seek(0) |
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result_image = Image.open(buffer) |
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logger.debug("Image reloaded from buffer with metadata") |
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return result_image |
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except Exception as e: |
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logger.error(f"Failed to add metadata to image: {str(e)}") |
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logger.error(f"Full traceback: {traceback.format_exc()}") |
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return image |
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|
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def create_ui(): |
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logger.info("Creating Gradio UI") |
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with gr.Blocks(title="HiDream-I1-Dev Image Generator", theme=gr.themes.Soft()) as demo: |
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with gr.Row(equal_height=True): |
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with gr.Column(scale=4): |
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gr.Markdown(""" |
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# HiDream-I1-Dev Image Generator |
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Generate high-quality images from text descriptions using state-of-the-art AI |
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[🤗 HuggingFace](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) | |
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[GitHub](https://github.com/HiDream-ai/HiDream-I1) | |
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[Twitter](https://x.com/vivago_ai) |
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<span style="color: #FF5733; font-weight: bold">For more features and to experience the full capabilities of our product, please visit [https://vivago.ai/](https://vivago.ai/).</span> |
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""") |
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|
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with gr.Row(): |
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with gr.Column(scale=1): |
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prompt = gr.Textbox( |
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label="Prompt", |
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placeholder="A vibrant and dynamic graffiti mural adorns a weathered brick wall in a bustling urban alleyway, a burst of color and energy amidst the city's grit. Boldly spray-painted letters declare \"HiDream.ai\" alongside other intricate street art designs, a testament to creative expression in the urban landscape.", |
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lines=3 |
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) |
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|
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with gr.Row(): |
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aspect_ratio = gr.Radio( |
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choices=ASPECT_RATIO_OPTIONS, |
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value=ASPECT_RATIO_OPTIONS[2], |
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label="Aspect Ratio", |
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info="Select image aspect ratio" |
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) |
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|
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seed = gr.Number( |
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label="Seed (use -1 for random)", |
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value=82706, |
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precision=0 |
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) |
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|
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with gr.Row(): |
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generate_btn = gr.Button("Generate Image", variant="primary") |
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clear_btn = gr.Button("Clear") |
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|
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seed_used = gr.Number(label="Seed Used", interactive=False) |
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status_msg = gr.Markdown("Status: Ready") |
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progress = gr.Progress(track_tqdm=False) |
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|
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with gr.Column(scale=1): |
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output_image = gr.Image(label="Generated Image", format="png", type="pil", interactive=False) |
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|
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with gr.Accordion("Image Information", open=False): |
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image_info = gr.JSON(label="Details") |
|
|
|
|
|
def update_status(step): |
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return f"Status: {step}" |
|
|
|
|
|
def generate_with_status(prompt, aspect_ratio, seed, progress=gr.Progress()): |
|
logger.info(f"Starting image generation with prompt='{prompt[:50]}...', aspect_ratio={aspect_ratio}, seed={seed}") |
|
|
|
status_update = "Sending request to API..." |
|
yield None, seed, status_update, None |
|
|
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try: |
|
if not prompt.strip(): |
|
logger.error("Empty prompt provided in UI") |
|
status_update = "Error: Prompt cannot be empty" |
|
yield None, seed, status_update, None |
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return |
|
|
|
|
|
logger.info("Creating API request") |
|
task_id, used_seed = create_request(prompt, aspect_ratio, seed) |
|
status_update = f"Request sent. Task ID: {task_id}. Waiting for results..." |
|
yield None, used_seed, status_update, None |
|
|
|
|
|
start_time = time.time() |
|
last_completion_ratio = 0 |
|
progress(0, desc="Initializing...") |
|
logger.info(f"Starting to poll for results for task ID: {task_id}") |
|
|
|
while time.time() - start_time < MAX_POLL_TIME: |
|
elapsed_time = time.time() - start_time |
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logger.debug(f"Polling for results - Task ID: {task_id}, Elapsed time: {elapsed_time:.2f}s") |
|
|
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result = get_results(task_id) |
|
if not result: |
|
logger.debug(f"No result yet for task ID: {task_id}, waiting {POLL_INTERVAL}s...") |
|
time.sleep(POLL_INTERVAL) |
|
continue |
|
|
|
sub_results = result.get("result", {}).get("sub_task_results", []) |
|
if not sub_results: |
|
logger.debug(f"No sub-task results yet for task ID: {task_id}, waiting {POLL_INTERVAL}s...") |
|
time.sleep(POLL_INTERVAL) |
|
continue |
|
|
|
status = sub_results[0].get("task_status") |
|
logger.debug(f"Task status for ID {task_id}: {status}") |
|
|
|
|
|
completion_ratio = sub_results[0].get('task_completion', 0) * 100 |
|
if completion_ratio != last_completion_ratio: |
|
|
|
last_completion_ratio = completion_ratio |
|
progress_bar = "█" * int(completion_ratio / 10) + "░" * (10 - int(completion_ratio / 10)) |
|
status_update = f"Generating image: {completion_ratio}% complete" |
|
progress(completion_ratio / 100, desc=f"Generating image") |
|
logger.info(f"Generation progress - Task ID: {task_id}, Completion: {completion_ratio:.1f}%") |
|
yield None, used_seed, status_update, None |
|
|
|
|
|
if status == 1: |
|
logger.info(f"Task completed successfully - Task ID: {task_id}") |
|
progress(1.0, desc="Generation complete") |
|
image_name = sub_results[0].get("image") |
|
if not image_name: |
|
logger.error(f"No image name in successful response. Response: {sub_results[0]}") |
|
status_update = "Error: No image name in successful response" |
|
yield None, used_seed, status_update, None |
|
return |
|
|
|
status_update = "Downloading generated image..." |
|
yield None, used_seed, status_update, None |
|
|
|
image_url = f"{API_IMAGE_URL}{image_name}.png" |
|
logger.info(f"Downloading image - Task ID: {task_id}, URL: {image_url}") |
|
image = download_image(image_url) |
|
|
|
if image: |
|
|
|
logger.info(f"Adding metadata to image - Task ID: {task_id}") |
|
metadata = { |
|
"prompt": prompt, |
|
"seed": str(used_seed), |
|
"model": API_MODEL_NAME, |
|
"aspect_ratio": aspect_ratio, |
|
"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), |
|
"generated_by": "HiDream-I1-Dev Generator" |
|
} |
|
|
|
image_with_metadata = add_metadata_to_image(image, metadata) |
|
|
|
|
|
info = { |
|
"model": API_MODEL_NAME, |
|
"prompt": prompt, |
|
"seed": used_seed, |
|
"aspect_ratio": aspect_ratio, |
|
"generated_at": time.strftime("%Y-%m-%d %H:%M:%S") |
|
} |
|
|
|
status_update = "Image generated successfully!" |
|
logger.info(f"Image generation complete - Task ID: {task_id}") |
|
yield image_with_metadata, used_seed, status_update, info |
|
return |
|
else: |
|
logger.error(f"Failed to download image - Task ID: {task_id}, URL: {image_url}") |
|
status_update = "Error: Failed to download the generated image" |
|
yield None, used_seed, status_update, None |
|
return |
|
|
|
elif status in {3, 4}: |
|
error_msg = sub_results[0].get("task_error", "Unknown error") |
|
logger.error(f"Task failed - Task ID: {task_id}, Status: {status}, Error: {error_msg}") |
|
status_update = f"Error: Task failed with status {status}: {error_msg}" |
|
yield None, used_seed, status_update, None |
|
return |
|
|
|
|
|
if completion_ratio == last_completion_ratio: |
|
status_update = f"Waiting for image generation... {completion_ratio}% complete ({int(time.time() - start_time)}s elapsed)" |
|
yield None, used_seed, status_update, None |
|
|
|
time.sleep(POLL_INTERVAL) |
|
|
|
logger.error(f"Timeout waiting for task completion - Task ID: {task_id}, Max time: {MAX_POLL_TIME}s") |
|
status_update = f"Error: Timeout waiting for image generation after {MAX_POLL_TIME} seconds" |
|
yield None, used_seed, status_update, None |
|
|
|
except APIError as e: |
|
logger.error(f"API Error during generation: {str(e)}") |
|
status_update = f"API Error: {str(e)}" |
|
yield None, seed, status_update, None |
|
|
|
except ValueError as e: |
|
logger.error(f"Value Error during generation: {str(e)}") |
|
status_update = f"Value Error: {str(e)}" |
|
yield None, seed, status_update, None |
|
|
|
except Exception as e: |
|
logger.error(f"Unexpected error during image generation: {str(e)}") |
|
logger.error(f"Full traceback: {traceback.format_exc()}") |
|
status_update = f"Unexpected error: {str(e)}" |
|
yield None, seed, status_update, None |
|
|
|
|
|
generate_btn.click( |
|
fn=generate_with_status, |
|
inputs=[prompt, aspect_ratio, seed], |
|
outputs=[output_image, seed_used, status_msg, image_info] |
|
) |
|
|
|
def clear_outputs(): |
|
logger.info("Clearing UI outputs") |
|
return None, -1, "Status: Ready", None |
|
|
|
clear_btn.click( |
|
fn=clear_outputs, |
|
inputs=None, |
|
outputs=[output_image, seed_used, status_msg, image_info] |
|
) |
|
|
|
|
|
gr.Examples( |
|
examples=[ |
|
[ |
|
"A vibrant and dynamic graffiti mural adorns a weathered brick wall in a bustling urban alleyway, a burst of color and energy amidst the city's grit. Boldly spray-painted letters declare \"HiDream.ai\" alongside other intricate street art designs, a testament to creative expression in the urban landscape.", |
|
"4:3", 82706], |
|
[ |
|
"A modern art interpretation of a traditional landscape painting, using bold colors and abstract forms to represent mountains, rivers, and mist. Incorporate calligraphic elements and a sense of dynamic energy.", |
|
"1:1", 661320], |
|
[ |
|
"Intimate portrait of a young woman from a nomadic tribe in ancient China, wearing fur-trimmed clothing and intricate silver jewelry. Wind-swept hair and a resilient gaze. Background of a vast, open grassland under a dramatic sky.", |
|
"1:1", 34235], |
|
[ |
|
"Time-lapse concept: A single tree shown through four seasons simultaneously, spring blossoms, summer green, autumn colors, winter snow, blended seamlessly.", |
|
"1:1", 241106] |
|
], |
|
inputs=[prompt, aspect_ratio, seed], |
|
outputs=[output_image, seed_used, status_msg, image_info], |
|
fn=generate_with_status, |
|
cache_examples=True, |
|
) |
|
|
|
logger.info("Gradio UI created successfully") |
|
return demo |
|
|
|
|
|
if __name__ == "__main__": |
|
logger.info("Starting HiDream-I1-Dev Image Generator application") |
|
demo = create_ui() |
|
logger.info("Launching Gradio interface with queue") |
|
demo.queue(max_size=50, default_concurrency_limit=4).launch(show_api=False) |
|
logger.info("Application shutdown") |
|
|