These nodes identifies specific content in the input prompt (each content occupies only one line) based on txt files containing predefined content that needs to be recognized. It then adds a special prefix (as a marker) to the identified content and inserts it back into the original prompt.

节点功能与示意工作流：（nodes function and workflow examples）

（1）filter prompt by txt file node

filter prompt by txt file node

这个节点内容为“1girl”的文本框内用于输入整体prompt内容（可以从其他文件内导入），file_path内输入用于筛选特定内容的txt文件所在路径（其中识别txt文件路径需要为Windows的绝对路径，且txt文件的格式需要为一个内容一行的方式编排！）。join_with_comma启用后会使用逗号分隔识别结果（如果不启用则会以空格分隔识别结果）

This node contains a text box labeled "1girl" for inputting the overall prompt content (which can be imported from other files). The "file_path" field is used to input the path to the txt file containing the specific content for filtering (the path to the recognition txt file must be an absolute Windows path, and the txt file must be formatted with one content entry per line!). Enabling "join_with_comma" will separate the recognition results with commas (if not enabled, the results will be separated by spaces).

（2）Concatenate_Strings（Multi）node

Concatenate_Strings（Multi）node

这个节点主要是将多个识别结果（字符串格式）\需要添加的特定前缀以特定顺序分行排列好（本质与其他的文本联结节点完全一样，只是懒得用其他节点包而已）。其中separator中可输入不同输入结果间的分隔符（默认为换行符\n）。此处结果将分别输入Apply Multiple Prefixes to Keywords节点中。

This node primarily arranges multiple recognition results (in string format) and the specific prefixes to be added in a specified order, with each entry on a separate line (essentially functioning identically to other text concatenation nodes, but included here for convenience to avoid using additional node packages). The "separator" field allows input of a delimiter between different results (default is a newline character \n). The output here will be fed into the "Apply Multiple Prefixes to Keywords" node.

（3）Apply Multiple Prefixes to Keywords node

Apply Multiple Prefixes to Keywords node

这个节点的作用是根据输入的识别结果将需要添加的特定前缀添加到整体prompt的特定内容中并输出添加特定前缀后的整体prompt。由上至下三个文本框输入内容分别为：（1）整体prompt内容（2）过滤文件识别结果（3）特定前缀添加内容（你可以直接在这里按一行一个前缀的格式输入，也可通过其他字符串节点整合成节点默认的格式后再一起输入进来）

The function of this node is to add specific prefixes to particular content within the overall prompt based on the input recognition results, and output the modified overall prompt with the added prefixes. The three input fields from top to bottom are:
(1) Overall prompt content
(2) Filtered file recognition results
(3) Specific prefix content (you may directly input prefixes here in the format of one prefix per line, or integrate them into the node's default format using other string nodes before inputting)

（4）Filter Tags by Prefix node

Filter Tags by Prefix node

这个节点的作用是依据在节点中输入的特定前缀对输入内容（每个tag以逗号进行分割）进行过滤，并且只输出带有特定前缀的tag内容。输入: prompt_text: 包含dan tag的原始文本。 prefix: 你要寻找的特定前缀（例如 #（角色）, @（画师）, 或 lora:）。 remove_prefix_in_output: 一个开关。开启（True）：输出 tag (去掉了前缀)。关闭（False）（常用）：输出 @tag (保留原始前缀)。 string输出: 仅包含那些带有指定前缀的 tag 组成的字符串。

The function of this ComfyUI node is to filter the input content (each tag separated by commas) based on a specific prefix entered in the node, and output only the tag content that contains that specific prefix.

Input:

prompt_text: The original text containing dan tags.
prefix: The specific prefix you are looking for (e.g., #(character), @(artist), or lora:).
remove_prefix_in_output: A switch.
- Enabled (True): Outputs the tag (with the prefix removed).
- Disabled (False) (commonly used): Outputs @tag (retains the original prefix).

Output (string): A string consisting only of the tags that contain the specified prefix.

（5）示例工作流（example workflow）（其中特定前缀的字符串节点也可以是其他节点包的节点，只要输出的是字符串就行）

(Note: The string node for specific prefixes can also be a node from other node packages, as long as it outputs a string.)

Cexample workflow