update

README.md

@@ -16,7 +16,8 @@ tags:
 
 # Stable Diffusion Prompts Generation Model
 
-This Hugging Face model, named "Falah/stable_diffusion_prompts_gen", is designed for generating illustration art style prompts using the Stable Diffusion tool for text-to-image generation. It utilizes the custom dataset "Falah/stable_diffusion_prompts_dataset" to generate creative and coherent text prompts.
+This model is designed for generating illustration art style prompts for the Stable Diffusion tool for text-to-image generation. 
+It utilizes the custom dataset "Falah/stable_diffusion_prompts_dataset" to generate creative and coherent text prompts.
 
 ## Examples
 
@@ -29,9 +30,9 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 model_name = "Falah/stable_diffusion_prompts_gen"
 dataset_name = "Falah/stable_diffusion_prompts_dataset"
 prompt = r'a beautiful female'  # the beginning of the prompt
-temperature = 0.9              # a higher temperature will produce more diverse results, but with a higher risk of less coherent text
+temperature = 0.9              # A higher temperature will produce more diverse results, but with a higher risk of less coherent text
 top_k = 8                      # the number of tokens to sample from at each step
-max_length = 100               # the maximum number of tokens for the output of the model
+max_length = 200               # the maximum number of tokens for the output of the model
 repetition_penalty = 1.2       # the penalty value for each repetition of a token
 num_return_sequences = 5       # the number of results to generate
 
@@ -54,7 +55,7 @@ print('\033[96m' + prompt + '\033[0m')
 for i in range(len(output)):
     print(tokenizer.decode(output[i], skip_special_tokens=True) + '\n')
 ```
-These are examples for prompts generating and testing the model with web site![stable diffusion sdxl](https://clipdrop.co/) for the stable diffusion model
+These are examples of prompts generating and testing the model with the website [Link Text](https://clipdrop.co/) for the stable diffusion model
 generating images from prompts
 
 ```