63 lines
1.9 KiB
Markdown
63 lines
1.9 KiB
Markdown
|
|
# Documentation
|
|
- Class name: LoraInfo
|
|
- Category: jitcoder
|
|
- Output node: True
|
|
- Repo Ref: https://github.com/comfyanonymous/ComfyUI
|
|
|
|
LoraInfo节点旨在检索和提供特定LoRa (Low-Power, Long-Range) 配置的详细信息，包括其输出特征、触发词、示例提示词以及与之关联的基础模型。该节点充当了访问预存储或动态生成的LoRa元数据的桥梁，便于在应用程序中集成和使用LoRa配置。
|
|
|
|
# Input types
|
|
## Required
|
|
- lora_name
|
|
- 请求信息的LoRa配置的名称。它对于识别特定的LoRa设置并检索其相关数据至关重要。
|
|
- Comfy dtype: COMBO[STRING]
|
|
- Python dtype: str
|
|
|
|
# Output types
|
|
- trigger_words
|
|
- 与指定LoRa配置相关的触发词，提供了关于其使用方法的洞察。
|
|
- Comfy dtype: STRING
|
|
- Python dtype: str
|
|
- example_prompt
|
|
- 与指定LoRa配置相关的示例提示词，展示了如何使用该配置。
|
|
- Comfy dtype: STRING
|
|
- Python dtype: str
|
|
- ui
|
|
- LoRa信息的结构化表示，包括文本输出、模型详情，以及可选的示例图像和提示词。
|
|
- Comfy dtype: *未指定*
|
|
- Python dtype: *未指定*
|
|
|
|
|
|
## Usage tips
|
|
- Infra type: `CPU`
|
|
- Common nodes: unknown
|
|
|
|
|
|
## Source code
|
|
```python
|
|
class LoraInfo:
|
|
def __init__(self):
|
|
pass
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
LORA_LIST = sorted(folder_paths.get_filename_list("loras"), key=str.lower)
|
|
return {
|
|
"required": {
|
|
"lora_name": (LORA_LIST, )
|
|
},
|
|
}
|
|
|
|
RETURN_NAMES = ("trigger_words", "example_prompt")
|
|
RETURN_TYPES = ("STRING", "STRING")
|
|
FUNCTION = "lora_info"
|
|
OUTPUT_NODE = True
|
|
CATEGORY = "jitcoder"
|
|
|
|
def lora_info(self, lora_name):
|
|
(output, triggerWords, examplePrompt, baseModel) = get_lora_info(lora_name)
|
|
return {"ui": {"text": (output,), "model": (baseModel,)}, "result": (triggerWords, examplePrompt)}
|
|
|
|
```
|