Hunyuan LoRA Loader Nodes

Hunyuan LoRA Loader Nodes

This collection provides four additional nodes for loading and managing Hunyuan Video LoRAs in ComfyUI:

HunyuanLoadAndEditLoraBlocks

Interactive node for editing and applying individual LoRA block settings. At the moment, it allows you to specifically enable/disable different double blocks when loading the lora.

Inputs:

• model: The base model to apply the LoRA to
• lora_name: Select from available LoRAs
• strength: LoRA strength (default: 1.0, range: -10.0 to 10.0)
• save_settings: Whether to save block settings to cache (default: true)
• use_single_blocks: Enable/disable single block layers (default: false)
• double_blocks.0-19: Individual toggles for each double block

HunyuanLoadFromBlockCache

Loads a LoRA using previously cached block settings.

Inputs:

• model: The base model to apply the LoRA to
• lora_name: Select from available LoRAs
• strength: LoRA strength (default: 1.0, range: -10.0 to 10.0)
• use_single_blocks: Enable/disable single block layers (default: false)

HunyuanLoraFromJson

Applies multiple LoRAs from a JSON configuration.

Inputs:

• model: The base model to apply the LoRA to
• json_data: JSON configuration string

Example:

[
    {
        "filename": "kerbal30.safetensors",
        "strength": 0.75,
        "use_block_cache": true,
        "use_single_blocks": false
    },
    {
        "filename": "other_lora.safetensors",
        "strength": 0.5,
        "use_block_cache": false,
        "use_single_blocks": true
    }
]

HunyuanLoraFromPrompt

Automatically applies LoRAs based on trigger words in the prompt.

Inputs:

• model: The base model to apply the LoRA to
• prompt: The input prompt text
• config_file: YAML config file name (default: "lora_triggers.yaml")

Example Prompt:

Example Config File (lora_triggers.yaml):

loras:
  - filename: kerbal30.safetensors
    strength: 0.75
    use_block_cache: true
    use_single_blocks: false
    keywords:
      - kerbal
      - astronaut
      - spacesuit

Cache Directory

Block settings are stored in the cache directory at:

ComfyUI_PixelFun/cache/

Each LoRA's block settings are saved as [lora_name]_blocks.yaml in this directory.