Args:
    prompt (str): Required. Text description of the image to generate. MUST BE IN ENGLISH. Non-English prompts will be rejected or result in poor quality outputs.
    model (str, optional): Model to use for image generation.
    loras (list, optional): List of LoRA models to use, each with a path and scale. Format: [{"path": "model_path", "scale": weight_value}]. Default model used if not provided.
    size (str, optional): Size of the output image in format "width*height", e.g., "512*512". Default: 1024*1024.
    num_inference_steps (int, optional): Number of denoising steps. Higher values improve quality but increase generation time. Default: 30.
    guidance_scale (float, optional): Guidance scale for text adherence. Controls how closely the image matches the text description. Default: 7.5.
    num_images (int, optional): Number of images to generate. Default: 1.
    seed (int, optional): Random seed for reproducible results. Set to -1 for random. Default: -1.
    enable_safety_checker (bool, optional): Whether to enable safety filtering. Default: True.
    output_directory (str, optional): Directory to save the generated images. Uses a temporary directory if not provided.
    request_id (str, optional): Request correlation ID for tracing the entire request chain. Strongly recommended to provide a unique ID (e.g., UUID) to correlate logs across the request lifecycle.

Returns:
    WaveSpeedResult object with the result of the image generation, containing:
    - status: "success" or "error"
    - urls: List of image URLs if successful
    - base64: List of base64 encoded images if resource_mode is set to base64
    - local_files: List of local file paths if resource_mode is set to local
    - error: Error message if status is "error"
    - processing_time: Time taken to generate the image(s)
    
Examples:
    Basic usage: text_to_image(prompt="A golden retriever running on grass")
    Advanced usage: text_to_image(
        prompt="A golden retriever running on grass", 
        size="1024*1024", 
        num_inference_steps=50,
        seed=42
    )
    
Note: 
    For optimal results, always provide prompts in English, regardless of your interface language.
    Non-English prompts may result in lower quality or unexpected images.

Args:
    image (str): Required. URL, base64 string, or local file path of the input image to modify.
    images (List[str]): Required. List of URLs to images to modify.
    prompt (str): Required. Text description of the desired modifications. MUST BE IN ENGLISH. Non-English prompts will be rejected or result in poor quality outputs.
    model (str, optional): Model to use for image generation.
    guidance_scale (float, optional): Guidance scale for text adherence. Controls how closely the output follows the prompt. Range: [1.0-10.0]. Default: 3.5.
    enable_safety_checker (bool, optional): Whether to enable safety filtering. Default: True.
    output_directory (str, optional): Directory to save the generated images. Uses a temporary directory if not provided.
    request_id (str, optional): Request correlation ID for tracing the entire request chain. Strongly recommended to provide a unique ID (e.g., UUID) to correlate logs across the request lifecycle.

Returns:
    WaveSpeedResult object with the result of the image generation, containing:
    - status: "success" or "error"
    - urls: List of image URLs if successful
    - base64: List of base64 encoded images if resource_mode is set to base64
    - local_files: List of local file paths if resource_mode is set to local
    - error: Error message if status is "error"
    - processing_time: Time taken to generate the image(s)
    
Examples:
    Single image: image_to_image(image="https://example.com/image.jpg", images=[], prompt="Make it look like winter")
    Multiple images: image_to_image(image="", images=["https://example.com/img1.jpg", "https://example.com/img2.jpg"], prompt="Convert to oil painting style")
    Both parameters: image_to_image(image="https://example.com/main.jpg", images=["https://example.com/ref1.jpg"], prompt="Apply style transfer")
    
Note: 
    For optimal results, always provide prompts in English, regardless of your interface language.
    Non-English prompts may result in lower quality or unexpected images.

Args:
    image (str): Required. URL, base64 string, or local file path of the input image to animate.
    prompt (str): Required. Text description of the video to generate. MUST BE IN ENGLISH. Non-English prompts will be rejected or result in poor quality outputs.
    model (str, optional): Model to use for video generation.
    negative_prompt (str, optional): Text description of what to avoid in the video. Default: "".
    loras (list, optional): List of LoRA models to use, each with a path and scale. Format: [{"path": "model_path", "scale": weight_value}]. Default: [].
    size (str, optional): Size of the output video in format "width*height". Default: "832*480".
    num_inference_steps (int, optional): Number of denoising steps. Higher values improve quality but increase generation time. Default: 30.
    duration (int, optional): Duration of the video in seconds. Must be either 5 or 10. Default: 5.
    guidance_scale (float, optional): Guidance scale for text adherence. Controls how closely the video matches the text description. Default: 5.
    flow_shift (int, optional): Shift of the flow in the video. Affects motion intensity. Default: 3.
    seed (int, optional): Random seed for reproducible results. Set to -1 for random. Default: -1.
    enable_safety_checker (bool, optional): Whether to enable safety filtering. Default: True.
    output_directory (str, optional): Directory to save the generated video. Uses a temporary directory if not provided.
    request_id (str, optional): Request correlation ID for tracing the entire request chain. Strongly recommended to provide a unique ID (e.g., UUID) to correlate logs across the request lifecycle.

Returns:
    WaveSpeedResult object with the result of the video generation, containing:
    - status: "success" or "error"
    - urls: List of video URLs if successful
    - base64: List of base64 encoded videos if resource_mode is set to base64
    - local_files: List of local file paths if resource_mode is set to local
    - error: Error message if status is "error"
    - processing_time: Time taken to generate the video(s)
    
Examples:
    Basic usage: generate_video(image="https://example.com/image.jpg", prompt="The dog running through a forest")
    Advanced usage: generate_video(
        image="/path/to/local/image.jpg", 
        prompt="The dog running through a forest", 
        duration=10,
        negative_prompt="blurry, low quality"
    )
    
Note: 
    IMPORTANT: Prompts MUST be in English. The system only processes English prompts properly.
    Non-English prompts will be rejected or produce low-quality results. If user input is not in English,
    you MUST translate it to English before passing to this tool.