Update app.py

app.py

@@ -22,8 +22,7 @@ model_path = "Collov-Labs/Monetico"
 
 model = Transformer2DModel.from_pretrained(model_path, subfolder="transformer", torch_dtype=dtype)
 vq_model = VQModel.from_pretrained(model_path, subfolder="vqvae", torch_dtype=dtype)
-# text_encoder = CLIPTextModelWithProjection.from_pretrained(model_path, subfolder="text_encoder")
-text_encoder = CLIPTextModelWithProjection.from_pretrained(  #more stable sampling for some cases
+text_encoder = CLIPTextModelWithProjection.from_pretrained(
             "laion/CLIP-ViT-H-14-laion2B-s32B-b79K", torch_dtype=dtype
         )
 tokenizer = CLIPTokenizer.from_pretrained(model_path, subfolder="tokenizer", torch_dtype=dtype)
@@ -32,27 +31,24 @@ pipe = Pipeline(vq_model, tokenizer=tokenizer, text_encoder=text_encoder, transf
 pipe.to(device)
 
 MAX_SEED = 2**32 - 1
-MAX_IMAGE_SIZE = 512
 
 @spaces.GPU
-def generate_image(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
+def generate_image(occasion, theme, colors, randomize_seed=True, seed=0):
+    prompt = f"{occasion} theme: {theme}, colors: {colors} design inspiration"
     if randomize_seed or seed == 0:
         seed = torch.randint(0, MAX_SEED, (1,)).item()
     torch.manual_seed(seed)
     
     image = pipe(
         prompt=prompt,
-        negative_prompt=negative_prompt,
-        height=height,
-        width=width,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps
+        height=512,
+        width=512,
+        guidance_scale=9.0,
+        num_inference_steps=50
     ).images[0]
     
     return image, seed
 
-# Default negative prompt
-default_negative_prompt = "worst quality, low quality, low res, blurry, distortion, watermark, logo, signature, text, jpeg artifacts, signature, sketch, duplicate, ugly, identifying mark"
 css = """
 #col-container {
     margin: 0 auto;
@@ -61,91 +57,40 @@ css = """
 """
 
 examples = [
-    "Modern Architecture render with pleasing aesthetics.",
-    "An image of a Pikachu wearing a birthday hat and playing guitar.",
-    "A statue of a lion stands in front of a building.",
-    "A white and blue coffee mug with a picture of a man on it.",
-    "A metal sculpture of a deer with antlers.",
-    "A bronze statue of an owl with its wings spread.",
-    "A white table with a vase of flowers and a cup of coffee on top of it.",
-    "A woman stands on a dock in the fog.",
-    "A lion's head is shown in a grayscale image.",
-    "A sculpture of a Greek woman head with a headband and a head of hair."
+    {"occasion": "Wedding", "theme": "Vintage Elegance", "colors": "white and gold"},
+    {"occasion": "Corporate Anniversary", "theme": "Legacy & Growth", "colors": "navy and silver"},
+    {"occasion": "Product Launch", "theme": "Innovation Spark", "colors": "blue and white"},
+    {"occasion": "Team Appreciation", "theme": "Together We Thrive", "colors": "green and gold"},
+    {"occasion": "Award Ceremony", "theme": "Excellence Awards", "colors": "black and gold"},
+    {"occasion": "Milestone Celebration", "theme": "10 Years Strong", "colors": "emerald green and silver"},
+    {"occasion": "Holiday Party", "theme": "Winter Festivity", "colors": "silver and blue"},
+    {"occasion": "Sales Achievement", "theme": "Peak Performers", "colors": "crimson and gray"},
+    {"occasion": "Client Appreciation", "theme": "Thank You Event", "colors": "ivory and gold"},
+    {"occasion": "Office Opening", "theme": "New Beginnings", "colors": "teal and white"},
+    {"occasion": "Retirement Celebration", "theme": "Years of Dedication", "colors": "bronze and navy"},
+    {"occasion": "Quarterly Town Hall", "theme": "United Vision", "colors": "purple and silver"},
+    {"occasion": "Annual Conference", "theme": "Forward Together", "colors": "black and royal blue"},
+    {"occasion": "Workshop Event", "theme": "Skill Building", "colors": "orange and gray"},
+    {"occasion": "Networking Gala", "theme": "Professional Connections", "colors": "champagne and gold"},
+    {"occasion": "Leadership Retreat", "theme": "Inspire & Lead", "colors": "forest green and white"},
 ]
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# Monetico Text-to-Image Generator")
+        gr.Markdown("# Cake & Gift Design Inspiration")
         with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            run_button = gr.Button("Run", scale=0, variant="primary")
-        result = gr.Image(label="Result", show_label=False)
-        with gr.Accordion("Advanced Settings", open=False):
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                value=default_negative_prompt,
-            )
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            with gr.Row():
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=20.0,
-                    step=0.1,
-                    value=9.0,
-                )
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=100,
-                    step=1,
-                    value=48,
-                )
-        gr.Examples(examples=examples, inputs=[prompt])
+            occasion = gr.Text(label="Occasion", placeholder="Enter occasion, e.g., Wedding, Birthday")
+            theme = gr.Text(label="Theme", placeholder="Enter theme, e.g., Vintage, Space Adventure")
+            colors = gr.Text(label="Colors", placeholder="Enter colors, e.g., white and gold")
+            run_button = gr.Button("Generate Design", variant="primary")
+        result = gr.Image(label="Generated Design", show_label=False)
+        gr.Examples(examples=examples, inputs=[occasion, theme, colors])
+        
     gr.on(
-        triggers=[run_button.click, prompt.submit],
+        triggers=[run_button.click],
         fn=generate_image,
-        inputs=[
-            prompt,
-            negative_prompt,
-            seed,
-            randomize_seed,
-            width,
-            height,
-            guidance_scale,
-            num_inference_steps,
-        ],
-        outputs=[result, seed],
+        inputs=[occasion, theme, colors],
+        outputs=[result],
     )
 
-demo.launch()
+demo.launch()