Update app.py

app.py

@@ -8,7 +8,7 @@ from PIL import Image
 from deep_translator import GoogleTranslator
 import json
 
-# Project by Nymbo
+
 
 API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3-medium-diffusers"
 API_TOKEN = os.getenv("HF_READ_TOKEN")
@@ -64,13 +64,14 @@ css = """
 }
 """
 
-with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
+with gr.Blocks(theme='Hev832/niceandsimple', css=css) as app:
     gr.HTML("<center><h1>Stable Diffusion 3 Medium</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")
+                    text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
                 with gr.Row():
                     with gr.Accordion("Advanced Settings", open=False):
                         negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(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")
@@ -79,9 +80,6 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
                         method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
                         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():
-            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")