# 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
Prompts
Copiar prompts
# 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
INFO
Checkpoint & LoRA

Checkpoint
SeaArt Infinity
#Diosa
#SeaArt Infinity
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