Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -18,14 +18,60 @@ pipe = DiffusionPipeline.from_pretrained(
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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def create_tshirt_preview(design_image, tshirt_color="white"):
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"""
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Overlay the design onto the existing t-shirt template
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"""
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# Load the template t-shirt image
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tshirt = Image.open('image.jpeg')
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tshirt_width, tshirt_height = tshirt.size
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# Convert design to PIL Image if it's not already
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if not isinstance(design_image, Image.Image):
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design_image = Image.fromarray(design_image)
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@@ -37,7 +83,7 @@ def create_tshirt_preview(design_image, tshirt_color="white"):
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# Calculate position to center design on shirt
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x = (tshirt_width - design_width) // 2
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y = int(tshirt_height * 0.
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# If design has transparency (RGBA), create mask
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if design_image.mode == 'RGBA':
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@@ -50,41 +96,6 @@ def create_tshirt_preview(design_image, tshirt_color="white"):
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return tshirt
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# def create_tshirt_preview(design_image, tshirt_color="white"):
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# """
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# Overlay the design onto a t-shirt template
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# """
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# # Create a base t-shirt shape
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# tshirt_width = 800
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# tshirt_height = 1000
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# # Create base t-shirt image
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# tshirt = Image.new('RGB', (tshirt_width, tshirt_height), tshirt_color)
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# # Convert design to PIL Image if it's not already
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# if not isinstance(design_image, Image.Image):
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# design_image = Image.fromarray(design_image)
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# # Resize design to fit nicely on shirt (30% of shirt width)
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# design_width = int(tshirt_width * 0.3)
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# design_height = int(design_width * design_image.size[1] / design_image.size[0])
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# design_image = design_image.resize((design_width, design_height), Image.Resampling.LANCZOS)
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# # Calculate position to center design on shirt (top third of shirt)
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# x = (tshirt_width - design_width) // 2
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# y = int(tshirt_height * 0.25) # Position in top third
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# # If design has transparency (RGBA), create mask
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# if design_image.mode == 'RGBA':
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# mask = design_image.split()[3]
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# else:
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# mask = None
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# # Paste design onto shirt
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# tshirt.paste(design_image, (x, y), mask)
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# return tshirt
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def enhance_prompt_for_tshirt(prompt, style=None):
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"""Add specific terms to ensure good t-shirt designs."""
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style_terms = {
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@@ -97,9 +108,9 @@ def enhance_prompt_for_tshirt(prompt, style=None):
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}
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base_terms = [
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"create
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"with centered composition",
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"
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"professional design",
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"clear background"
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]
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@@ -201,14 +212,14 @@ with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(
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"""
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# 👕
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""",
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elem_classes=["main-title"]
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)
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gr.Markdown(
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"""
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Create unique t-shirt designs using AI.
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Describe your design idea and select a style to generate professional-quality artwork
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perfect for custom t-shirts.
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""",
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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import numpy as np
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from collections import Counter
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def get_prominent_colors(image, num_colors=5):
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"""
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Get the most prominent colors from an image, focusing on edges
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"""
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# Convert to numpy array
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img_array = np.array(image)
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# Create a simple edge mask using gradient magnitude
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gradient_x = np.gradient(img_array.mean(axis=2))[1]
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gradient_y = np.gradient(img_array.mean(axis=2))[0]
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gradient_magnitude = np.sqrt(gradient_x**2 + gradient_y**2)
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# Threshold to get edge pixels
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edge_threshold = np.percentile(gradient_magnitude, 90) # Adjust percentile as needed
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edge_mask = gradient_magnitude > edge_threshold
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# Get colors from edge pixels
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edge_colors = img_array[edge_mask]
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# Convert colors to tuples for counting
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colors = [tuple(color) for color in edge_colors]
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# Count occurrences of each color
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color_counts = Counter(colors)
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# Get most common colors
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prominent_colors = color_counts.most_common(num_colors)
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return prominent_colors
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def create_tshirt_preview(design_image, tshirt_color="white"):
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"""
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Overlay the design onto the existing t-shirt template and color match
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"""
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# Load the template t-shirt image
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tshirt = Image.open('image.jpeg')
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tshirt_width, tshirt_height = tshirt.size
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# Convert design to PIL Image if it's not already
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if not isinstance(design_image, Image.Image):
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design_image = Image.fromarray(design_image)
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# Get prominent colors from the design
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prominent_colors = get_prominent_colors(design_image)
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if prominent_colors:
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# Use the most prominent color for the t-shirt
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main_color = prominent_colors[0][0] # RGB tuple of most common color
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else:
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# Fallback to white if no colors found
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main_color = (255, 255, 255)
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# Convert design to PIL Image if it's not already
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if not isinstance(design_image, Image.Image):
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design_image = Image.fromarray(design_image)
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# Calculate position to center design on shirt
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x = (tshirt_width - design_width) // 2
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y = int(tshirt_height * 0.2) # Adjust this value based on your template
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# If design has transparency (RGBA), create mask
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if design_image.mode == 'RGBA':
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return tshirt
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def enhance_prompt_for_tshirt(prompt, style=None):
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"""Add specific terms to ensure good t-shirt designs."""
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style_terms = {
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}
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base_terms = [
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"create t-shirt design",
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"with centered composition",
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"high quality",
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"professional design",
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"clear background"
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]
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with gr.Column(elem_id="col-container"):
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gr.Markdown(
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"""
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# 👕Deradh's T-Shirt Design Generator
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""",
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elem_classes=["main-title"]
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)
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gr.Markdown(
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"""
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Create unique t-shirt designs using Deradh's AI.
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Describe your design idea and select a style to generate professional-quality artwork
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perfect for custom t-shirts.
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""",
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