Update app.py

app.py

@@ -8,44 +8,6 @@ from PIL import Image
 from deep_translator import GoogleTranslator
 import json
 
-from fastapi import FastAPI
-
-app = FastAPI()
-
-#----------Start of theme----------
-theme = gr.themes.Soft(
-    primary_hue="zinc",
-    secondary_hue="stone",
-    font=[gr.themes.GoogleFont('Kavivanar'), gr.themes.GoogleFont('Kavivanar'), 'system-ui', 'sans-serif'],
-    font_mono=[gr.themes.GoogleFont('Source Code Pro'), gr.themes.GoogleFont('Inconsolata'), gr.themes.GoogleFont('Inconsolata'), 'monospace'],
-).set(
-    body_background_fill='*primary_100',
-    body_text_color='secondary_600',
-    body_text_color_subdued='*primary_500',
-    body_text_weight='500',
-    background_fill_primary='*primary_100',
-    background_fill_secondary='*secondary_200',
-    color_accent='*primary_300',
-    border_color_accent_subdued='*primary_400',
-    border_color_primary='*primary_400',
-    block_background_fill='*primary_300',
-    block_border_width='*panel_border_width',
-    block_info_text_color='*primary_700',
-    block_info_text_size='*text_md',
-    panel_background_fill='*primary_200',
-    accordion_text_color='*primary_600',
-    table_text_color='*primary_600',
-    input_background_fill='*primary_50',
-    input_background_fill_focus='*primary_100',
-    button_primary_background_fill='*primary_500',
-    button_primary_background_fill_hover='*primary_400',
-    button_primary_text_color='*primary_50',
-    button_primary_text_color_hover='*primary_100',
-    button_cancel_background_fill='*primary_500',
-    button_cancel_background_fill_hover='*primary_400'
-)
-#----------End of theme----------
-
 
 API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
@@ -126,71 +88,48 @@ examples = [
 
 css = """
 #app-container {
-    max-width: 896px;
+    max-width: 600px;
     margin-left: auto;
     margin-right: auto;
 }
 """
 
-with gr.Blocks(theme=theme, css=css) as app:
+with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
     gr.HTML("<center><h1>FLUX.1-Dev with LoRA support</h1></center>")
     with gr.Column(elem_id="app-container"):
-            with gr.Row():
-                with gr.Column(elem_id="prompt-container"):
-                    with gr.Row():
-                        text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
-                    with gr.Row():
-                         with gr.Accordion("Lora trigger words", open=False):
-                        		gr.Markdown("""
-                                    - **sdxl-realistic**: szn style
-                                    - **stylesdxl-cyberpunk**: szn style
-                                    - **maxfield-parrish-stylee**: Maxfield Parrish Style
-                                    - **surreal-harmony**: Surreal Harmony
-                                    - **extremely-detailed**: extremely detailed
-                                    - **dark-fantasy**: Dark Fantasy
-                                    - **analogredmond**: AnalogRedmAF
-                                    - **jules-bastien-lepage-style**: Jules Bastien Lepage Style
-                                    - **john-singer-sargent-style**: John Singer Sargent Style
-                                    - **alphonse-mucha-style**: Alphonse Mucha Style
-                                    - **ultra-realistic-illustration**: ultra realistic illustration
-                                    - **eye-catching**: eye-catching
-                                    - **john-constable-style**: John Constable Style
-                                    - **film-noir**: in the style of FLMNR
-                                    - **director-sofia-coppola-style**: Director Sofia Coppola Style
-                            		""",
-                                    label="Trigger words")                       
-                            
-                    with gr.Row():
-                        custom_lora = gr.Dropdown([" ", "jwu114/lora-sdxl-realistic", "issaccyj/lora-sdxl-cyberpunk", "KappaNeuro/maxfield-parrish-style", "fofr/sdxl-deep-down", "KappaNeuro/surreal-harmony", "ntc-ai/SDXL-LoRA-slider.extremely-detailed", "prithivMLmods/Canopus-LoRA-Flux-FaceRealism", "KappaNeuro/dark-fantasy", "artificialguybr/analogredmond", "KappaNeuro/jules-bastien-lepage-style", "KappaNeuro/john-singer-sargent-style", "KappaNeuro/alphonse-mucha-style", "ntc-ai/SDXL-LoRA-slider.ultra-realistic-illustration", "ntc-ai/SDXL-LoRA-slider.eye-catching", "KappaNeuro/john-constable-style", "dvyio/flux-lora-film-noir", "KappaNeuro/director-sofia-coppola-style"], label="Custom LoRA (Please select)",)
-                    with gr.Row():
-                        with gr.Accordion("⚙️ Advanced Settings", open=False, elem_id="settings-container"):
-                            negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="((((out of frame))), deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
-                            with gr.Row():
-                                width = gr.Slider(label="Width", value=1024, minimum=64, maximum=1216, step=32)
-                                height = gr.Slider(label="Height", value=1024, minimum=64, maximum=1216, step=32)
+        with gr.Row():
+            with gr.Column(elem_id="prompt-container"):
+                with gr.Row():
+                    text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
+                with gr.Row():
+                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path (optional)", placeholder="multimodalart/vintage-ads-flux")
+                with gr.Row():
+                    with gr.Accordion("Advanced Settings", open=False):
+                        with gr.Row():
+                            width = gr.Slider(label="Width", value=1024, minimum=64, maximum=1216, step=8)
+                            height = gr.Slider(label="Height", value=1024, minimum=64, maximum=1216, step=8)
+                        seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=4294967296, step=1)
+                        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+                        with gr.Row():
                             steps = gr.Slider(label="Sampling steps", value=28, minimum=1, maximum=100, step=1)
                             cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
-                            method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "DPM Fast" "Euler", "Euler a", "Euler+beta", "Heun", "DDIM", "PLMS", "UniPC"])
-                            strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
-                            seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
-                    with gr.Row():
-                        with gr.Accordion("🫘Seed", open=False):
-                            seed_output = gr.Textbox(label="Seed Used", show_copy_button = True, elem_id="seed-output")
-                            
-            with gr.Row():
-                text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
-            with gr.Row():                
-                clr_button =gr.Button("Clear",variant="primary", elem_id="clear_button")
-                clr_button.click(lambda: gr.Textbox(value=""), None, text_prompt)
-                
-            with gr.Row():
-                image_output = gr.Image(type="pil", label="Image Output", format="png", elem_id="gallery")
-    
-            gr.Examples(
-                examples = examples,
-                inputs = [text_prompt],
-            )
-            
-    text_button.click(query, inputs=[custom_lora, text_prompt, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=[image_output, seed_output])
+                        # method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
+
+        with gr.Row():
+            text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
+        with gr.Row():
+            image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
+        with gr.Row():
+            seed_output = gr.Textbox(label="Seed Used", show_copy_button = True, elem_id="seed-output")
+
+        gr.Markdown(article_text)
+        
+        gr.Examples(
+            examples = examples,
+            inputs = [text_prompt],
+        )
+
+        
+        text_button.click(query, inputs=[custom_lora, text_prompt, steps, cfg, randomize_seed, seed, width, height], outputs=[image_output,seed_output, seed])
 
 app.launch(show_api=False, share=False)