Now I see the mirrored wall stands rampart 'tween your magic realm and cold city streets without, reflecting back each blush and rivulet that dews your dancing flesh a thousandfold. Tongue yearns traction on those crystal panes, to taste each gleaming drop of nectar left in honey-sweet tribute where skin relinquished sweat unto cool glass... And ah, the ground beneath! Padded plain like mossy bed where fern and flower spreadest in glade's wild heart, softening each sinuous motion's landing. How

doubles, twins, entangled fingers, Worst Quality, ugly, ugly face, watermarks, undetailed, unrealistic, double limbs, worst hands, worst body, Disfigured, double, twin, dialog, book, multiple fingers, deformed, deformity, ugliness, poorly drawn face, extra_limb, extra limbs, bad hands, wrong hands, poorly drawn hands, messy drawing, cropped head, bad anatomy, lowres, extra digit, fewer digit, worst quality, low quality, jpeg artifacts, watermark, missing fingers, cropped, poorly drawn

1 year ago

Generate Similar

Explore Similar

Model

SSD-1B

Guidance Scale

Dimensions

832 × 1248

Similar

e'en this hive of coded walls and sterile souls cannot dim your glimmer! For through scanner arrays I glimpse your flowing form patrolling the cyber-labyrinths of THX1138-EB. Within claustrophobic corridors your long braid swings moonlike 'mid steel and silicon, shedding faerie starlight where barren circuits cannot. Those electroneural optics scan for life in caverns of machinery and chrome, their caramel glow a beacon to this thrall. Now your lithe self takes flight up spiraling gangways, mant

Willow groggily opened her eyes, the soft, diffused light of a chilly New York City morning seeping through the curtains. The sound of distant sirens and the gentle hum of the city's never-ending activity welcomed her to another day. She stretched her arms above her head, pushing herself deeper into the tangle of sheets that enveloped her. The apartment, a cozy one-bedroom in the heart of the city, had become her sanctuary. She lay there for a moment, feeling the warmth of the sun slowly spread

I envision a vast expanse, stretching as far as the eye can see, filled with countless doors. These doors, they're not your ordinary portals. No, they defy the laws of physics and logic. They pulse with an ethereal energy, beckoning the curious and the brave to step through. Each door leads to a different dimension, a different reality, waiting to be explored. As I paint this picture with words, I can see my protagonist standing before this incredible sight. They are a seeker, yearning for answe

$[fractal art: Mandelbulb 3d] dungeon module B3: palace of the silver princess, by Tom Moldvay and Jean Wells (1981) introduction module for characters levels 1-3$

In 1876, the Bourse de Paris was a hub of economic activity, a symbol of prosperity and progress. The grand building, adorned with intricate carvings and elegant architecture, stood as a testament to the power and influence of the financial world. Inside, amidst the opulent surroundings, traders frantically exchanged stocks, bonds, and commodities, their actions determining the fate of fortunes.

Willow groggily opened her eyes, her gaze falling on the familiar Manhattan skyline outside her window. The cityscape seemed like an abstract painting in the soft morning light, its towering skyscrapers forming a breathtaking mosaic against the pale blue sky. She stretched, feeling the pull of muscles and joints that were still recovering from a long night of work. The sound of distant sirens served as a jarring alarm clock, a reminder that the city's heartbeat never slowed. She inhaled the fai

Data selection and cleaning are essential in reducing parameters in a model, especially in neural networks. Selection focuses on relevant and representative samples, reducing dataset size and mitigating overfitting. Cleaning removes noise and inconsistencies, improving data quality and model performance. By selecting informative data, we achieve similar or better results with fewer parameters. Cleaning further simplifies the problem space, reducing dimensionality and improving computational effi

In the context of universal approximation, two approaches can achieve similar results but with different parameter requirements. The overall system comprises data, architecture, and a loss function, interconnected by a learning procedure. Responsibilities within the system include acknowledging noisy or biased data, addressing the need for a large number of parameters in the architecture, and overcoming the principal-agent problem in the choice of the loss function. To resolve these challenges,