Update app.py

app.py

@@ -2,7 +2,7 @@ import torch
 import spaces
 from diffusers import StableDiffusionPipeline, DDIMScheduler, AutoencoderKL
 from transformers import AutoFeatureExtractor
-from controlnet.callable_functions import process_single_image_both_ways,make_stylecode,process_single_image
+from controlnet.callable_functions import process_single_image_both_ways,make_stylecode,use_stylecode
 
 from huggingface_hub import hf_hub_download
 import gradio as gr
@@ -18,10 +18,10 @@ device = "cuda"
 cv2.setNumThreads(1)
 
 @spaces.GPU(enable_queue=True)
-def generate_image(images, prompt, negative_prompt,stylecode,strength,  progress=gr.Progress(track_tqdm=True)):
+def generate_image(images, prompt, negative_prompt,stylecode,strength,additional_prompt,  progress=gr.Progress(track_tqdm=True)):
 
     
-    
+    full_prompt=prompt + additional_prompt
 
     image = images
     yield None
@@ -31,7 +31,7 @@ def generate_image(images, prompt, negative_prompt,stylecode,strength,  progress
     # Calculate new width and height
    
 
-    image = process_single_image(ip_ckpt,image_path="",prompt=prompt,num_inference_steps=20,image=image,stylecode=stylecode)
+    image = use_stylecode(ip_ckpt,image_path="",prompt=prompt,num_inference_steps=20,image=image,stylecode=stylecode)
     
     yield image
 
@@ -72,7 +72,8 @@ with gr.Blocks(css=css) as demo:
             negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="low quality")
         
             with gr.Accordion(open=False, label="Advanced Options"):
-                strength = gr.Slider(label="strength", value=0.8, step=0.05, minimum=0, maximum=1)
+                strength = gr.Slider(label="strength", value=0.9, step=0.05, minimum=0, maximum=1)
+                additional_prompt = gr.Textbox(label="additional prompt",placeholder ="highly detailed ,simple background")
 
             
 
@@ -83,7 +84,7 @@ with gr.Blocks(css=css) as demo:
         stylecode_gen.click(fn=make_stylecode_gui,inputs=[files],outputs=stylecode)
         
         submit.click(fn=generate_image,
-                    inputs=[files, prompt, negative_prompt,stylecode,strength],
+                    inputs=[files, prompt, negative_prompt,stylecode,strength,additional_prompt],
                     outputs=gallery)
     
     gr.Markdown("This demo includes extra features to mitigate the implicit bias of the model and prevent explicit usage of it to generate content with faces of people, including third parties, that is not safe for all audiences, including naked or semi-naked people.")