Update README.md

README.md

@@ -24,6 +24,7 @@ Custom AI prompt generator node for [ComfyUI](https://github.com/comfyanonymous/
   - [Automatic Installation](#automatic-installation)
     - [For Manual Installation of the ComfyUI](#for-manual-installation-of-the-comfyui-2)
     - [For Portable Installation of the ComfyUI](#for-portable-installation-of-the-comfyui-1)
+  - [New Updates On The Node](#new-updates-on-the-node)
 - [Contributing](#contributing)
 - [Example Outputs](#example-outputs)
 
@@ -76,10 +77,10 @@ Custom AI prompt generator node for [ComfyUI](https://github.com/comfyanonymous/
 
 ## Dataset
 
-- 1.434.667 rows of unique prompts **(Gathering In Process)**
+- 1.516.819 rows of unique prompts | **(Gathering In Process)**
 - %85 train | %15 test
 - Process of data cleaning and gathering can be found [here](https://github.com/alpertunga-bile/prompt-markdown-parser/blob/master/CLI/CLICivitai.py)
-- These Huggingface datasets are used:
+- These Huggingface datasets are used for enhance the dataset:
   - [FredZhang7/anime-prompts-180K](https://huggingface.co/datasets/FredZhang7/anime-prompts-180K)
   - [FredZhang7/stable-diffusion-prompts-2.47M](https://huggingface.co/datasets/FredZhang7/stable-diffusion-prompts-2.47M)
   - [thefcraft/civitai-stable-diffusion-337k](https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k)
@@ -89,11 +90,11 @@ Custom AI prompt generator node for [ComfyUI](https://github.com/comfyanonymous/
 
 ## Models
 
-- female_positive_generator_v2 **(Training In Process)**
+- female_positive_generator_v2 | **(Training In Process)**
   - using [distilgpt2](https://huggingface.co/distilgpt2) model
   - Training Loss ~0.50
   
-- female_positive_generator_v3 **(Training In Process)**
+- female_positive_generator_v3 | **(Training In Process)**
   - using [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) model
   - Training loss ~0.59
 
@@ -128,12 +129,12 @@ Custom AI prompt generator node for [ComfyUI](https://github.com/comfyanonymous/
 - Look [this link](https://huggingface.co/docs/transformers/v4.31.0/en/generation_strategies#text-generation-strategies) for text generation strategies
 
 ## How Recursive Works?
-- Let's say we give ```a, ``` as seed and recursive level is 1. I am going to use the same outputs for this example to understand the functionality more accurately.
+- Let's say we give ```a, ``` as seed and recursive level is 1. I am going to use the same outputs for this example to explain the functionality more accurately.
 - With self recursive, let's say generator's output is ```b```. So next seed is going to be ```b``` and generator's output is ```c```. Final output is ```a, c```. It can be used for generating random outputs.
 - Without self recursive, let's say generator's output is ```b```. So next seed is going to be ```a, b``` and generator's output is ```c```. Final output is ```a, b, c```. It can be used for more accurate prompts.
 
 ## How Preprocess Mode Works?
-- **exact_keyword** => ```(masterpiece), ((masterpiece))``` is not allowed. Checking the pure keyword without parantheses and weights. The algorithm is adding prompts from the beginning of the generated text so add important prompts to seed.
+- **exact_keyword** => ```(masterpiece), ((masterpiece))``` is not allowed. Checking the pure keyword without parantheses and weights. The algorithm is adding the prompts from the beginning of the generated text, so add important prompts to seed.
 - **exact_prompt** => ```(masterpiece), ((masterpiece))``` is allowed but ```(masterpiece), (masterpiece)``` is not. Checking the exact match of the prompt.
 - **none** => Everything is allowed even the repeated prompts.
 ### Example
@@ -176,13 +177,17 @@ Custom AI prompt generator node for [ComfyUI](https://github.com/comfyanonymous/
 - The users have to check that they are starting the ComfyUI in the ```ComfyUI_windows_portable```
 - Because the node is checking the ```python_embeded``` folder if it is exists and is using it to install the required packages
 
+## New Updates On The Node
+
+- Sometimes the variables are changed with updates, so it may broke the workflow. But don't worry you have to just delete the node in the workflow and add it again.
+
 # Contributing
 
 - Contributions are welcome. If you have an idea and want to implement it by yourself please follow these steps:
 
   1. Create a fork
   2. Create a branch with a name that describes the feature that you are adding
-  3. Pull request the fork with explaning the new feature
+  3. Pull request the fork with the comment that explaining the new feature
 
 - If you have an idea but don't know how to implement it please create an issue with ```enhancement``` label.