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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 | |
[π€ HuggingFace](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) | | |
[GitHub](https://github.com/HiDream-ai/HiDream-I1) | | |
[Twitter](https://x.com/vivago_ai) | |
<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> | |
""") | |
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 = "β" * int(completion_ratio / 10) + "β" * (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") | |