Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,7 @@ import spaces
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import torch
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from diffusers import FluxKontextPipeline
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from diffusers.utils import load_image
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from PIL import Image
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import os
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# Style dictionary
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@@ -88,52 +88,7 @@ thumbnail_mapping = {
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pipeline = None
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pipeline_loaded = False
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def
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"""Add watermark to the generated image"""
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# Create a copy of the image
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watermarked = image.copy()
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# Create drawing context
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draw = ImageDraw.Draw(watermarked)
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# Define watermark text
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watermark_text = "ginigen.com"
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# Try to use a default font, fallback to basic if not available
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try:
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# Try to use a smaller font size
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font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 16)
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except:
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try:
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font = ImageFont.truetype("arial.ttf", 16)
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except:
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# Use default font if no TrueType fonts are available
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font = ImageFont.load_default()
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# Get text size
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bbox = draw.textbbox((0, 0), watermark_text, font=font)
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text_width = bbox[2] - bbox[0]
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text_height = bbox[3] - bbox[1]
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# Calculate position (bottom right with padding)
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padding = 10
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box_padding = 5
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x = image.width - text_width - padding - (box_padding * 2)
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y = image.height - text_height - padding - (box_padding * 2)
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# Draw semi-transparent box background
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box_coords = [
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x - box_padding,
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y - box_padding,
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x + text_width + box_padding,
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y + text_height + box_padding
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]
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draw.rectangle(box_coords, fill=(255, 255, 255, 200))
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# Draw text
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draw.text((x, y), watermark_text, font=font, fill=(100, 100, 100, 255))
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return watermarked
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global pipeline, pipeline_loaded
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if pipeline is None:
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print("Loading FLUX.1-Kontext-dev model...")
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@@ -227,11 +182,7 @@ def style_transfer(input_image, style_name, prompt_suffix, num_inference_steps,
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# Clear GPU memory
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torch.cuda.empty_cache()
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result_image = result.images[0]
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watermarked_image = add_watermark(result_image)
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return watermarked_image
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except Exception as e:
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print(f"Error: {str(e)}")
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@@ -264,7 +215,7 @@ def create_thumbnail_grid():
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# Create Gradio interface
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with gr.Blocks(title="Flux Kontext Style LoRA", theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🎨 Flux Kontext Style LoRA")
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# Thumbnail Grid Section
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with gr.Row():
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import torch
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from diffusers import FluxKontextPipeline
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from diffusers.utils import load_image
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from PIL import Image
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import os
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# Style dictionary
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pipeline = None
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pipeline_loaded = False
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def load_pipeline():
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global pipeline, pipeline_loaded
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if pipeline is None:
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print("Loading FLUX.1-Kontext-dev model...")
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# Clear GPU memory
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torch.cuda.empty_cache()
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return result.images[0]
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except Exception as e:
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print(f"Error: {str(e)}")
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# Create Gradio interface
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with gr.Blocks(title="Flux Kontext Style LoRA", theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🎨 Flux Styler : Flux Kontext Style LoRA")
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# Thumbnail Grid Section
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with gr.Row():
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