import logging import os import random import time import traceback from io import BytesIO import gradio as gr import requests from PIL import Image, PngImagePlugin from dotenv import load_dotenv # Set up logging logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) # Load environment variables load_dotenv() # API Configuration API_TOKEN = os.environ.get("HIDREAM_API_TOKEN") API_REQUEST_URL = os.environ.get("API_REQUEST_URL") API_RESULT_URL = os.environ.get("API_RESULT_URL") API_IMAGE_URL = os.environ.get("API_IMAGE_URL") API_VERSION = os.environ.get("API_VERSION") API_MODEL_NAME = os.environ.get("API_MODEL_NAME") MAX_RETRY_COUNT = int(os.environ.get("MAX_RETRY_COUNT")) POLL_INTERVAL = float(os.environ.get("POLL_INTERVAL")) MAX_POLL_TIME = int(os.environ.get("MAX_POLL_TIME")) # Resolution options ASPECT_RATIO_OPTIONS = ["1:1", "3:4", "4:3", "9:16", "16:9"] # Log configuration details logger.info(f"API configuration loaded: REQUEST_URL={API_REQUEST_URL}, RESULT_URL={API_RESULT_URL}, VERSION={API_VERSION}, MODEL={API_MODEL_NAME}") logger.info(f"Retry configuration: MAX_RETRY_COUNT={MAX_RETRY_COUNT}, POLL_INTERVAL={POLL_INTERVAL}s, MAX_POLL_TIME={MAX_POLL_TIME}s") class APIError(Exception): """Custom exception for API-related errors""" pass def create_request(prompt, aspect_ratio="1:1", seed=-1): """ Create an image generation request to the API. Args: prompt (str): Text prompt describing the image to generate aspect_ratio (str): Aspect ratio of the output image seed (int): Seed for reproducibility, -1 for random Returns: tuple: (task_id, seed) - Task ID if successful and the seed used Raises: APIError: If the API request fails """ logger.info(f"Starting create_request with prompt='{prompt[:50]}...', aspect_ratio={aspect_ratio}, seed={seed}") if not prompt or not prompt.strip(): logger.error("Empty prompt provided to create_request") raise ValueError("Prompt cannot be empty") # Validate aspect ratio if aspect_ratio not in ASPECT_RATIO_OPTIONS: logger.error(f"Invalid aspect ratio: {aspect_ratio}. Valid options: {', '.join(ASPECT_RATIO_OPTIONS)}") raise ValueError(f"Invalid aspect ratio. Must be one of: {', '.join(ASPECT_RATIO_OPTIONS)}") # Generate random seed if not provided if seed == -1: seed = random.randint(1, 1000000) logger.info(f"Generated random seed: {seed}") # Validate seed try: seed = int(seed) if seed < -1 or seed > 1000000: logger.info(f"Invalid seed value: {seed}, forcing to 8888") seed = 8888 except (TypeError, ValueError) as e: logger.error(f"Seed validation failed: {str(e)}") raise ValueError(f"Seed must be an integer but got {seed}") headers = { "Authorization": f"Bearer {API_TOKEN}", "X-accept-language": "en", "X-source": "api", "Content-Type": "application/json", } generate_data = { "module": "txt2img", "prompt": prompt, "params": { "batch_size": 1, "wh_ratio": aspect_ratio, "seed": seed }, "version": API_VERSION, } retry_count = 0 while retry_count < MAX_RETRY_COUNT: try: logger.info(f"Sending API request [attempt {retry_count+1}/{MAX_RETRY_COUNT}] for prompt: '{prompt[:50]}...'") response = requests.post(API_REQUEST_URL, json=generate_data, headers=headers, timeout=10) # Log response status code logger.info(f"API request response status: {response.status_code}") response.raise_for_status() result = response.json() if not result or "result" not in result: logger.error(f"Invalid API response format: {str(result)}") raise APIError(f"Invalid response format from API when sending request: {str(result)}") task_id = result.get("result", {}).get("task_id") if not task_id: logger.error(f"No task ID in API response: {str(result)}") raise APIError(f"No task ID returned from API: {str(result)}") logger.info(f"Successfully created task with ID: {task_id}, seed: {seed}") return task_id, seed except requests.exceptions.Timeout: retry_count += 1 logger.warning(f"Request timed out. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") time.sleep(1) except requests.exceptions.HTTPError as e: status_code = e.response.status_code error_message = f"HTTP error {status_code}" try: error_detail = e.response.json() error_message += f": {error_detail}" logger.error(f"API response error content: {error_detail}") except: logger.error(f"Could not parse API error response as JSON. Raw content: {e.response.content[:500]}") if status_code == 401: logger.error(f"Authentication failed with API token. Status code: {status_code}") raise APIError("Authentication failed. Please check your API token.") elif status_code == 429: retry_count += 1 wait_time = min(2 ** retry_count, 10) # Exponential backoff logger.warning(f"Rate limit exceeded. Waiting {wait_time}s before retry ({retry_count}/{MAX_RETRY_COUNT})...") time.sleep(wait_time) elif 400 <= status_code < 500: try: error_detail = e.response.json() error_message += f": {error_detail.get('message', 'Client error')}" except: pass logger.error(f"Client error: {error_message}, Prompt: '{prompt[:50]}...', Status: {status_code}") raise APIError(error_message) else: retry_count += 1 logger.warning(f"Server error: {error_message}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") time.sleep(1) except requests.exceptions.RequestException as e: logger.error(f"Request error: {str(e)}") logger.debug(f"Request error details: {traceback.format_exc()}") raise APIError(f"Failed to connect to API: {str(e)}") except Exception as e: logger.error(f"Unexpected error in create_request: {str(e)}") logger.error(f"Full traceback: {traceback.format_exc()}") raise APIError(f"Unexpected error: {str(e)}") logger.error(f"Failed to create request after {MAX_RETRY_COUNT} retries for prompt: '{prompt[:50]}...'") raise APIError(f"Failed after {MAX_RETRY_COUNT} retries") def get_results(task_id): """ Check the status of an image generation task. Args: task_id (str): The task ID to check Returns: dict: Task result information Raises: APIError: If the API request fails """ logger.debug(f"Checking status for task ID: {task_id}") if not task_id: logger.error("Empty task ID provided to get_results") raise ValueError("Task ID cannot be empty") url = f"{API_RESULT_URL}?task_id={task_id}" headers = { "Authorization": f"Bearer {API_TOKEN}", "X-accept-language": "en", } try: response = requests.get(url, headers=headers, timeout=10) logger.debug(f"Status check response code: {response.status_code}") response.raise_for_status() result = response.json() if not result or "result" not in result: logger.warning(f"Invalid response format from API when checking task {task_id}: {str(result)}") raise APIError(f"Invalid response format from API when checking task {task_id}: {str(result)}") return result except requests.exceptions.Timeout: logger.warning(f"Request timed out when checking task {task_id}") return None except requests.exceptions.HTTPError as e: status_code = e.response.status_code logger.warning(f"HTTP error {status_code} when checking task {task_id}") try: error_content = e.response.json() logger.error(f"Error response content: {error_content}") except: logger.error(f"Could not parse error response as JSON. Raw content: {e.response.content[:500]}") if status_code == 401: logger.error(f"Authentication failed when checking task {task_id}") raise APIError(f"Authentication failed. Please check your API token when checking task {task_id}") elif 400 <= status_code < 500: try: error_detail = e.response.json() error_message = f"HTTP error {status_code}: {error_detail.get('message', 'Client error')}" except: error_message = f"HTTP error {status_code}" logger.error(error_message) return None else: logger.warning(f"Server error {status_code} when checking task {task_id}") return None except requests.exceptions.RequestException as e: logger.warning(f"Network error when checking task {task_id}: {str(e)}") logger.debug(f"Network error details: {traceback.format_exc()}") return None except Exception as e: logger.error(f"Unexpected error when checking task {task_id}: {str(e)}") logger.error(f"Full traceback: {traceback.format_exc()}") return None def download_image(image_url): """ Download an image from a URL and return it as a PIL Image. Converts WebP to PNG format while preserving original image data. Args: image_url (str): URL of the image Returns: PIL.Image: Downloaded image object converted to PNG format Raises: APIError: If the download fails """ logger.info(f"Starting download_image from URL: {image_url}") if not image_url: logger.error("Empty image URL provided to download_image") raise ValueError("Image URL cannot be empty when downloading image") retry_count = 0 while retry_count < MAX_RETRY_COUNT: try: logger.info(f"Downloading image [attempt {retry_count+1}/{MAX_RETRY_COUNT}] from {image_url}") response = requests.get(image_url, timeout=15) logger.debug(f"Image download response status: {response.status_code}, Content-Type: {response.headers.get('Content-Type')}, Content-Length: {response.headers.get('Content-Length')}") response.raise_for_status() # Open the image from response content image = Image.open(BytesIO(response.content)) logger.info(f"Image opened successfully. Format: {image.format}, Size: {image.size[0]}x{image.size[1]}, Mode: {image.mode}") # Get original metadata before conversion original_metadata = {} for key, value in image.info.items(): if isinstance(key, str) and isinstance(value, str): original_metadata[key] = value logger.debug(f"Original image metadata: {original_metadata}") # Convert to PNG regardless of original format (WebP, JPEG, etc.) if image.format != 'PNG': logger.info(f"Converting image from {image.format} to PNG format") png_buffer = BytesIO() # If the image has an alpha channel, preserve it, otherwise convert to RGB if 'A' in image.getbands(): logger.debug("Preserving alpha channel in image conversion") image_to_save = image else: logger.debug("Converting image to RGB mode") image_to_save = image.convert('RGB') image_to_save.save(png_buffer, format='PNG') png_buffer.seek(0) image = Image.open(png_buffer) logger.debug(f"Image converted to PNG. New size: {image.size[0]}x{image.size[1]}, Mode: {image.mode}") # Preserve original metadata for key, value in original_metadata.items(): image.info[key] = value logger.debug("Original metadata preserved in converted image") logger.info(f"Successfully downloaded and processed image: {image.size[0]}x{image.size[1]}") return image except requests.exceptions.Timeout: retry_count += 1 logger.warning(f"Download timed out. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") time.sleep(1) except requests.exceptions.HTTPError as e: status_code = e.response.status_code logger.error(f"HTTP error {status_code} when downloading image from {image_url}") try: error_content = e.response.text[:500] logger.error(f"Error response content: {error_content}") except: logger.error("Could not read error response content") if 400 <= status_code < 500: error_message = f"HTTP error {status_code} when downloading image" logger.error(error_message) raise APIError(error_message) else: retry_count += 1 logger.warning(f"Server error {status_code}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") time.sleep(1) except requests.exceptions.RequestException as e: retry_count += 1 logger.warning(f"Network error during image download: {str(e)}. Retrying ({retry_count}/{MAX_RETRY_COUNT})...") logger.debug(f"Network error details: {traceback.format_exc()}") time.sleep(1) except Exception as e: logger.error(f"Error processing image from {image_url}: {str(e)}") logger.error(f"Full traceback: {traceback.format_exc()}") raise APIError(f"Failed to process image: {str(e)}") logger.error(f"Failed to download image from {image_url} after {MAX_RETRY_COUNT} retries") raise APIError(f"Failed to download image after {MAX_RETRY_COUNT} retries") def add_metadata_to_image(image, metadata): """ Add metadata to a PIL image. Args: image (PIL.Image): The image to add metadata to metadata (dict): Metadata to add to the image Returns: PIL.Image: Image with metadata """ logger.debug(f"Adding metadata to image: {metadata}") if not image: logger.error("Null image provided to add_metadata_to_image") return None try: # Get any existing metadata existing_metadata = {} for key, value in image.info.items(): if isinstance(key, str) and isinstance(value, str): existing_metadata[key] = value logger.debug(f"Existing image metadata: {existing_metadata}") # Merge with new metadata (new values override existing ones) all_metadata = {**existing_metadata, **metadata} logger.debug(f"Combined metadata: {all_metadata}") # Create a new metadata dictionary for PNG meta = PngImagePlugin.PngInfo() # Add each metadata item for key, value in all_metadata.items(): meta.add_text(key, str(value)) # Save with metadata to a buffer buffer = BytesIO() image.save(buffer, format='PNG', pnginfo=meta) logger.debug("Image saved to buffer with metadata") # Reload the image from the buffer buffer.seek(0) result_image = Image.open(buffer) logger.debug("Image reloaded from buffer with metadata") return result_image except Exception as e: logger.error(f"Failed to add metadata to image: {str(e)}") logger.error(f"Full traceback: {traceback.format_exc()}") return image # Return original image if metadata addition fails # Create Gradio interface def create_ui(): logger.info("Creating Gradio UI") with gr.Blocks(title="HiDream-I1-Dev Image Generator", theme=gr.themes.Soft()) as demo: with gr.Row(equal_height=True): with gr.Column(scale=4): gr.Markdown(""" # HiDream-I1-Dev Image Generator Generate high-quality images from text descriptions using state-of-the-art AI [🤗 HuggingFace](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) | [GitHub](https://github.com/HiDream-ai/HiDream-I1) | [Twitter](https://x.com/vivago_ai) For more features and to experience the full capabilities of our product, please visit [https://vivago.ai/](https://vivago.ai/). """) with gr.Row(): with gr.Column(scale=1): prompt = gr.Textbox( label="Prompt", 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.", lines=3 ) with gr.Row(): aspect_ratio = gr.Radio( choices=ASPECT_RATIO_OPTIONS, value=ASPECT_RATIO_OPTIONS[2], label="Aspect Ratio", info="Select image aspect ratio" ) seed = gr.Number( label="Seed (use -1 for random)", value=82706, precision=0 ) with gr.Row(): generate_btn = gr.Button("Generate Image", variant="primary") clear_btn = gr.Button("Clear") seed_used = gr.Number(label="Seed Used", interactive=False) status_msg = gr.Markdown("Status: Ready") progress = gr.Progress(track_tqdm=False) with gr.Column(scale=1): output_image = gr.Image(label="Generated Image", format="png", type="pil", interactive=False) with gr.Accordion("Image Information", open=False): image_info = gr.JSON(label="Details") # Status message update function def update_status(step): return f"Status: {step}" # Generate function with status updates 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 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 return # Create request 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 # Poll for results 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 logger.debug(f"Polling for results - Task ID: {task_id}, Elapsed time: {elapsed_time:.2f}s") 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}") # Get and display completion ratio completion_ratio = sub_results[0].get('task_completion', 0) * 100 if completion_ratio != last_completion_ratio: # Only update UI when completion ratio changes 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 # Check task status if status == 1: # Success 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: # Add metadata to the 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) # Create info for display 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}: # Failed or Canceled 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 # Only update time elapsed if completion ratio didn't change 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 # Set up event handlers 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] ) # Examples 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 # Launch app 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")