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.env
ADDED
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REPLICATE_API_TOKEN=r8_DAzyOBdCwUdt0b26ZMPWLyvyHTh55uh2Lwb3c
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OPENAI_API_KEY=sk-proj-6lTXmIwTYmNo7uUpQwujT3BlbkFJDMVzyH5hzblFbgYLLMCP
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index.py
CHANGED
@@ -23,22 +23,42 @@ REPLICATE_API_TOKEN = os.getenv('REPLICATE_API_TOKEN')
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client = OpenAI()
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def main(img, strength):
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mask = img['layers'][0]
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# Match prompt strength from .4 to 1 (total destruction)
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prompt_strength = round(-0.6 * strength + 1, 2)
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base_image = Image.fromarray(img['background'].astype('uint8'))
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img_base_64 = img_to_base64(base_image)
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if
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prompt = call_openai(img_base_64)
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#prompt = "The image shows a person wearing sleek, over-ear headphones with a matte finish and a cool, light beige color (Pantone 7527 C), captured under soft, diffused natural lighting, emphasizing the smooth and minimalist design of the headphones."
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output_urls = generate_image(prompt, img_base_64, mask_base_64, prompt_strength)
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def generate_image(prompt, img, mask, prompt_strength):
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input_data = {
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"image": img,
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"prompt": prompt
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"refine": "no_refiner",
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"scheduler": "K_EULER",
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"lora_scale": 0.8,
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@@ -160,7 +180,7 @@ black_brush = gr.Brush(colors=["#000000"], default_color="#000000", color_mode="
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# Using the ImageEditor component to enable drawing on the image with limited colors
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demo = gr.Interface(
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fn=main,
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inputs=[gr.ImageEditor(brush=black_brush), gr.Slider(0, 1, step=0.025, value=0.5, label="Image Strength")],
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#outputs=[gr.Image(type="pil"), gr.Image(type="pil"), gr.Image(type="pil"), gr.Image(type="pil")]
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outputs=["image", "image", "image", "image"]
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)
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client = OpenAI()
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def main(img, strength, prompt):
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mask = img['layers'][0]
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if is_transparent(mask) == True:
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mask_img = None
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mask_base_64 = None
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else:
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mask_img = create_mask_image(mask)
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# Match prompt strength from .4 to 1 (total destruction)
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prompt_strength = round(-0.6 * strength + 1, 2)
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base_image = Image.fromarray(img['background'].astype('uint8'))
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# Resize the starter image if either dimension is larger than 768 pixels
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if base_image.size[0] > 768 or base_image.size[1] > 768:
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# Calculate the new size while maintaining the aspect ratio
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if base_image.size[0] > base_image.size[1]:
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# Width is larger than height
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new_width = 768
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new_height = int((768 / base_image.size[0]) * base_image.size[1])
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else:
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# Height is larger than width
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new_height = 768
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new_width = int((768 / base_image.size[1]) * base_image.size[0])
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# Resize the image
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base_image = base_image.resize((new_width, new_height), Image.LANCZOS)
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if mask_img is not None:
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mask_img = mask_img.resize((new_width, new_height), Image.LANCZOS)
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img_base_64 = img_to_base64(base_image)
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mask_base_64 = img_to_base64(mask_img)
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#prompt = call_openai(img_base_64)
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prompt = prompt
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#prompt = "The image shows a person wearing sleek, over-ear headphones with a matte finish and a cool, light beige color (Pantone 7527 C), captured under soft, diffused natural lighting, emphasizing the smooth and minimalist design of the headphones."
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output_urls = generate_image(prompt, img_base_64, mask_base_64, prompt_strength)
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def generate_image(prompt, img, mask, prompt_strength):
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input_data = {
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"image": img,
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"prompt": prompt,
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"refine": "no_refiner",
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"scheduler": "K_EULER",
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"lora_scale": 0.8,
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# Using the ImageEditor component to enable drawing on the image with limited colors
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demo = gr.Interface(
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fn=main,
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inputs=[gr.ImageEditor(brush=black_brush), gr.Slider(0, 1, step=0.025, value=0.5, label="Image Strength"), gr.Textbox(label="Describe the object in as much detail as possible")],
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#outputs=[gr.Image(type="pil"), gr.Image(type="pil"), gr.Image(type="pil"), gr.Image(type="pil")]
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outputs=["image", "image", "image", "image"]
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)
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