Returns:
    Status message indicating server and backend health

Returns:
    JSON object containing all presets with their configurations

Args:
    prompt: Description of the sprite to generate (e.g., "a blue slime monster")
    preset: Style preset to use (default, pixel_16, pixel_32, flat_ui, handpainted, etc.)
    width: Override width in pixels
    height: Override height in pixels
    negative_prompt: Additional things to avoid (appended to preset's negative prompt)
    seed: Random seed for reproducibility
    steps: Number of generation steps (more = higher quality but slower)
    save_to_file: Whether to save the image to disk
    filename: Custom filename (auto-generated if not provided)

Returns:
    JSON with base64 image data and metadata

Args:
    prompts: List of icon descriptions (e.g., ["sword", "shield", "potion"])
    preset: Style preset to use (default: icon). Options: icon, icon_item, flat_ui
    size: Icon size in pixels (square)
    seed: Base seed for reproducibility (each icon gets seed+index)
    create_atlas: Whether to combine icons into a single spritesheet
    save_to_file: Whether to save images to disk

Returns:
    JSON with base64 images for each icon and optional atlas

Args:
    theme: Overall theme for the tileset (e.g., "forest", "dungeon", "sci-fi")
    tile_types: List of tile types to generate (e.g., ["ground", "wall", "water"])
    preset: Style preset to use (default: tileset). Options: tileset, topdown_tile
    tile_size: Size of each tile in pixels (square)
    seed: Base seed for reproducibility (each tile gets seed+index)
    save_to_file: Whether to save images to disk

Returns:
    JSON with base64 images for each tile type

Args:
    description: Character description (e.g., "a knight in silver armor")
    poses: List of poses to generate (e.g., ["idle", "walking", "attacking"])
    preset: Style preset to use (default: character). Options: character, character_portrait, pixel_character
    width: Sprite width in pixels
    height: Sprite height in pixels
    seed: Base seed for reproducibility (each pose gets seed+index)
    steps: Override generation steps (higher = better quality but slower)
    save_to_file: Whether to save images to disk

Returns:
    JSON with base64 images for each pose

This tool takes a reference character image and generates variations with different
poses while maintaining the same character identity (outfit, colors, style).

Args:
    reference_image_base64: Base64 encoded reference character image (front/idle view)
    description: Character description (e.g., "a knight in silver armor")
    poses: List of poses to generate (e.g., ["walking", "attacking", "jumping"])
    denoise: How much to change from reference (0.2=very similar, 0.5=more different). Default 0.35
    seed: Random seed for reproducibility (same seed = same variations)
    preset: Style preset to use (default: character)
    pose_denoise_boost: Additional denoise for action poses (default: 0.25)
    save_to_file: Whether to save images to disk

Returns:
    JSON with base64 images for each pose, all maintaining character identity

Example workflow:
    1. First generate a base character with generate_character(description, poses=["idle"])
    2. Take the best result's image_base64 as reference_image_base64
    3. Call this tool with poses=["walking", "running", "attacking"]

This tool uses depth maps to guide the generation, ensuring consistent camera angles
like top-down, side view, front view, etc.

Args:
    prompt: Description of the asset to generate (e.g., "a wooden barrel")
    view_type: Camera angle - "topdown", "side", "front", "3/4"
    shape: Object shape hint - "flat", "sphere", "cylinder", "box"
    preset: Style preset to use (default: topdown_prop)
    controlnet_model: ControlNet model (default: diffusers_xl_depth_full.safetensors)
    control_strength: How strongly to follow viewpoint (0.0-1.0, default: 0.8)
    width: Output width in pixels
    height: Output height in pixels
    seed: Random seed for reproducibility
    save_to_file: Whether to save the image to disk

Returns:
    JSON with base64 image data and metadata

Note:
    Requires ControlNet models installed in ComfyUI. Common depth models:
    - diffusers_xl_depth_full.safetensors (SDXL)
    - control_v11f1p_sd15_depth.pth (SD1.5)

This is a convenience wrapper around generate_with_viewpoint specifically for
top-down games (RPG, strategy, etc.).

Args:
    prompt: Description of the asset (e.g., "wooden treasure chest", "stone well")
    asset_type: Type of asset - "prop", "character", "creature", "tile", "effect"
    size: Output size in pixels (square)
    control_strength: How strictly to enforce top-down view (0.5-1.0)
    seed: Random seed for reproducibility
    save_to_file: Whether to save the image to disk (default: True for reliability)

Returns:
    JSON with file_path to generated image

Args:
    image_base64: Base64 encoded input image
    operations: List of operations to apply: "resize", "remove_background", "add_outline"
    resize_width: Target width for resize operation
    resize_height: Target height for resize operation
    outline_color: Hex color for outline (e.g., "#000000")
    outline_thickness: Thickness of outline in pixels
    save_to_file: Whether to save processed image to disk

Returns:
    JSON with processed image as base64

Args:
    images_base64: List of base64 encoded images
    columns: Number of columns in the atlas
    padding: Padding between sprites in pixels
    save_to_file: Whether to save atlas to disk
    filename: Custom filename for the atlas

Returns:
    JSON with the combined atlas as base64

Args:
    image_base64: Base64 encoded image to export
    asset_name: Name for the asset file (without extension)
    asset_type: Unity folder type (Sprites, Textures, UI, etc.)
    subfolder: Optional subfolder within the asset type folder

Returns:
    JSON with export status and file path

Args:
    prompts: List of asset descriptions
    preset: Style preset to use for all generations
    width: Override width for all assets
    height: Override height for all assets
    seed: Base seed for reproducibility (each prompt gets seed+index)
    save_to_file: Whether to save all images to disk

Returns:
    JSON with all generated assets