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flux_api.py
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import argparse
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import requests
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from gradio_client import Client, handle_file
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def generate_image(prompt, image_url=None, image_file=None):
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client = Client("yanze/PuLID-FLUX")
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# Determine input image
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if image_url:
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id_image = handle_file(image_url)
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elif image_file:
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id_image = handle_file(image_file)
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else:
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return "Error: Please provide an image URL or upload an image file."
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try:
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result = client.predict(
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prompt=prompt,
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id_image=id_image,
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start_step=0,
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guidance=4,
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seed="-1",
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true_cfg=1,
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width=896,
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height=1152,
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num_steps=20,
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id_weight=1,
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neg_prompt="bad quality, worst quality, text, signature, watermark, extra limbs",
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timestep_to_start_cfg=1,
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max_sequence_length=128,
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api_name="/generate_image"
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)
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base_url = "https://yanze-pulid-flux.hf.space/file="
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file_path = result[0]
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full_url = f"{base_url}{file_path}"
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# Download and save image
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response = requests.get(full_url)
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if response.status_code == 200:
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with open("output_image.jpg", "wb") as f:
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f.write(response.content)
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print("Image saved as output_image.jpg")
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return full_url
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except Exception as e:
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return f"Error during prediction: {str(e)}"
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Generate images using PuLID-FLUX")
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parser.add_argument("--prompt", type=str, required=True, help="Text prompt for the image generation")
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parser.add_argument("--image_url", type=str, default=None, help="Optional image URL")
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parser.add_argument("--image_file", type=str, default=None, help="Optional local image file path")
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args = parser.parse_args()
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output_url = generate_image(args.prompt, args.image_url, args.image_file)
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print(f"Generated Image URL: {output_url}")
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