# Import the necessary libraries import torch # Define the prompt and configura

# Import the necessary libraries import torch # Define the prompt and configuration settings prompt = ( "An action shot of Lya, an elegant female agent dressed in a luxurious black Victoria's Secret-inspired outfit with glowing angel wings. " "She is gracefully sliding under laser beams, her wings folded close to her back, while reaching out to deactivate a security system. " "Lya’s movements are fluid and precise, with a determined expression on her face. The lighting emphasizes the richness of her outfit and the subtle glow of her wings. " "The scene is captured with a dynamic, high-end cinematic feel, reminiscent of being filmed with a Canon XF605 UHD 4K HDR Pro Camcorder." ) # Configuration settings clip_guidance_scale = 25 # Stronger guidance for detailed action hr_scale = 4.0 # High-resolution scaling for detail hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.03 # Subtle variation for dynamic effect cross_attention_strength = 2.8 # Emphasis on details and characters shallow_depth_of_field = True # Shallow depth of field to focus on Lya lighting_style = "dramatic blue and neon" # Adjust if needed to emphasize the outfit and wings color_match_strength = 1.9 # Enhanced color matching for vivid tones perlin_noise_scale = 0.02 # Subtle noise for added texture fractal_noise = True # Adds fractal noise for enhanced texture depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Size configuration size = (1024, 1792) # Image dimensions # Assume `pipe` is your image generation pipeline image = pipe( prompt=prompt, clip_guidance_scale=clip_guidance_scale, hr_scale=hr_scale, hr_upscaler=hr_upscaler, latent_shift=latent_shift, cross_attention_strength=cross_attention_strength, shallow_depth_of_field=shallow_depth_of_field, lighting_style=lighting_style, color_match_strength=color_match_strength, noise="perlin", noise_sca