mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 05:32:12 -03:00
77 lines
3.1 KiB
Python
77 lines
3.1 KiB
Python
from comfy.comfy_types import IO # type: ignore
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from ..services.lora_scanner import LoraScanner
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from ..config import config
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import asyncio
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import os
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from .utils import FlexibleOptionalInputType, any_type, get_lora_info, extract_lora_name, get_loras_list
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import logging
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logger = logging.getLogger(__name__)
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class LoraStacker:
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NAME = "Lora Stacker (LoraManager)"
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CATEGORY = "Lora Manager/stackers"
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"text": (IO.STRING, {
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"multiline": True,
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"dynamicPrompts": True,
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"tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation",
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"placeholder": "LoRA syntax input: <lora:name:strength>"
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}),
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},
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"optional": FlexibleOptionalInputType(any_type),
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}
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RETURN_TYPES = ("LORA_STACK", IO.STRING, IO.STRING)
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RETURN_NAMES = ("LORA_STACK", "trigger_words", "active_loras")
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FUNCTION = "stack_loras"
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def stack_loras(self, text, **kwargs):
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"""Stacks multiple LoRAs based on the kwargs input without loading them."""
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stack = []
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active_loras = []
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all_trigger_words = []
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# Process existing lora_stack if available
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lora_stack = kwargs.get('lora_stack', None)
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if lora_stack:
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stack.extend(lora_stack)
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# Get trigger words from existing stack entries
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for lora_path, _, _ in lora_stack:
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lora_name = extract_lora_name(lora_path)
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_, trigger_words = asyncio.run(get_lora_info(lora_name))
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all_trigger_words.extend(trigger_words)
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# Process loras from kwargs with support for both old and new formats
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loras_list = get_loras_list(kwargs)
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for lora in loras_list:
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if not lora.get('active', False):
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continue
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lora_name = lora['name']
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model_strength = float(lora['strength'])
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clip_strength = model_strength # Using same strength for both as in the original loader
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# Get lora path and trigger words
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lora_path, trigger_words = asyncio.run(get_lora_info(lora_name))
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# Add to stack without loading
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# replace '/' with os.sep to avoid different OS path format
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stack.append((lora_path.replace('/', os.sep), model_strength, clip_strength))
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active_loras.append((lora_name, model_strength))
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# Add trigger words to collection
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all_trigger_words.extend(trigger_words)
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# use ',, ' to separate trigger words for group mode
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trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
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# Format active_loras as <lora:lora_name:strength> separated by spaces
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active_loras_text = " ".join([f"<lora:{name}:{str(strength).strip()}>"
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for name, strength in active_loras])
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return (stack, trigger_words_text, active_loras_text)
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