59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
```python
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import os
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import torch
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from comfy.utils import load_torch_file
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import comfy.model_management as mm
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from comfy.sd import load_lora_for_models
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import logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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log = logging.getLogger(__name__)
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def standardize_lora_key_format(lora_sd):
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new_sd = {}
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for k, v in lora_sd.items():
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k = k.replace('transformer.', 'diffusion_model.') # Align with Hunyuan Video key format
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new_sd[k] = v
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return new_sd
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class BoyoFramePackLoRA:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"model": ("FramePackMODEL",),
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"lora_path": ("STRING", {"default": "", "tooltip": "Path to LoRA safetensors file"}),
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"lora_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01}),
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}
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}
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RETURN_TYPES = ("FramePackMODEL",)
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RETURN_NAMES = ("model",)
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FUNCTION = "load_lora"
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CATEGORY = "BoyoNodes"
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DESCRIPTION = "Loads LoRA weights for Hunyuan Video transformer"
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def load_lora(self, model, lora_path, lora_strength):
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if not os.path.exists(lora_path):
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raise FileNotFoundError(f"LoRA file not found: {lora_path}")
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log.info(f"Loading LoRA: {os.path.basename(lora_path)} with strength: {lora_strength}")
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# Load and standardize LoRA weights
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lora_sd = load_torch_file(lora_path, safe_load=True)
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lora_sd = standardize_lora_key_format(lora_sd)
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# Apply LoRA using ComfyUI's standard method
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model, _ = load_lora_for_models(model, None, lora_sd, lora_strength, 0)
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return (model,)
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# Register the node for ComfyUI
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NODE_CLASS_MAPPINGS = {
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"BoyoFramePackLoRA": BoyoFramePackLoRA
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"BoyoFramePackLoRA": "Boyo FramePack LoRA Loader"
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}
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``` |