Update app.py

app.py

@@ -5,52 +5,17 @@ import random
 import os
 from PIL import Image
 
-list_models = [
-    "SD-1.5",
-]
+API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
+API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
 
-def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7,
-                     seed=None):
-
-    elif current_model == "SD-1.5":
-        API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
-
-
-    API_TOKEN = os.environ.get("HF_READ_TOKEN")
-    headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-
-    if image_style == "None style":
-        payload = {
-            "inputs": prompt + ", 8k",
-            "is_negative": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed is not None else random.randint(-1, 2147483647)
-        }
-    elif image_style == "Cinematic":
-        payload = {
-            "inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko",
-            "is_negative": is_negative + ", abstract, cartoon, stylized",
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed is not None else random.randint(-1, 2147483647)
-        }
-    elif image_style == "Digital Art":
-        payload = {
-            "inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star",
-            "is_negative": is_negative + ", sharp , modern , bright",
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed is not None else random.randint(-1, 2147483647)
-        }
-    elif image_style == "Portrait":
-        payload = {
-            "inputs": prompt + ", soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)",
-            "is_negative": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed is not None else random.randint(-1, 2147483647)
+def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
+    payload = {
+        "inputs": prompt,
+        "is_negative": is_negative,
+        "steps": steps,
+        "cfg_scale": cfg_scale,
+        "seed": seed if seed is not None else random.randint(-1, 2147483647)
         }
 
     image_bytes = requests.post(API_URL, headers=headers, json=payload).content
@@ -180,28 +145,37 @@ css = """
         .tabitem{border: 0 !important}
 """
 
-with gr.Blocks(css=css) as demo:
-    
-    favicon = '<img src="" width="48px" style="display: inline">'
-    gr.Markdown(
-        f"""<h1><center>{favicon} Stable Diffusion v15</center></h1>
-            """
+with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as dalle:
+    gr.HTML(
+        """
+            <div style="text-align: center; margin: 0 auto;">
+              <div
+                style="
+                  display: inline-flex;
+                  align-items: center;
+                  gap: 0.8rem;
+                  font-size: 1.75rem;
+                "
+              >
+                <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
+                  Stable Diffusion v1.5 XL
+                </h1> 
+              </div>
+              <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
+              </p>
+            </div>
+        """
     )
-    
-    with gr.Row(elem_id="prompt-container"):
-        current_model = gr.Dropdown(label="Current Model", choices=list_models, value=list_models[1])
-        
-    with gr.Row(elem_id="prompt-container"):
-        text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
-        text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
-        
+
     with gr.Row():
         image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
-        
+        with gr.Column(elem_id="prompt-container"):
+            text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
+            text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
+
     with gr.Accordion("Advanced settings", open=False):
         negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")
-        image_style = gr.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style", allow_custom_value=False)
 
-    text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)
+    text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)
 
-demo.launch(show_api=False)
+dalle.launch(show_api=False)