
Produces a photorealistic ocean/coastal scene. Features dramatic atmosphere with neon lighting with medieval, mechanical/robotic elements.
Photorealistic Vintage Cinematic Image, grainy, a hyper-dramatic close-up of a faceless cyborg. Its translucent orb face glitches violently into shattered white and silver fragments, dissolving into Klimt-inspired swirls of Green and black geometric ornamentation. The body is clad in ceremonial cyborg armor, plated in sharp matte black and pure white, streaked with moody neon orange veins glowing like molten cracks. An oversized hood flows behind, its surface etched with gilded spirals now reimagined in White and black contrasts. The backdrop: a storm of fractured monochrome clouds dissolving into razor-sharp red fractals, surreal and threatening. Sparks of colored energy crackle across its seams, pulsing like blood through a machine. Painterly symbolic yet cinematic, 8k high detail. Color world: Black-White-Crimson Red.
Negative prompt: Blurry, Low res, Bad Quality, Low Quality, blurry, low quality, pixelated, noisy, distorted, mutated hands, mutated fingers, extra limbs, extra arms, extra legs, extra heads, extra eyes, deformed face, unrealistic anatomy, unnatural proportions, poorly drawn, doll-like, plastic skin, waxy texture, cartoon, 3d render, cgi, clay, low resolution, watermark, text, signature, cut off, cropped head, missing limbs, asymmetry, glowing skin, unnatural colors, oversaturated, out of focus, bad perspective,
Design and optimize ComfyUI node workflows for Stable Diffusion. Covers ControlNet, IP-Adapter, inpainting, upscaling, and multi-pass generation pipelines.
Generate stunning photorealistic portraits with SDXL. Covers lighting setups, camera simulation, skin texture, and professional photography techniques.
Technical deep-dive into prompt engineering covering token limits, attention mechanisms, prompt weighting with parentheses and numerical values, embedding manipulation, and A/B testing different prompt structures with reproducible experiments.
Covers the full prompt engineering workflow including subject specification, style references, quality boosters, camera and lighting terminology, negative prompt strategies, and CFG scale tuning for different prompt styles.
Exhaustive guide to negative prompts covering common negative terms, negative embeddings (EasyNegative, bad_prompt), weighting strategies, model-specific negative prompts, and common mistakes like over-weighting.
Official Hugging Face documentation on prompt weighting techniques in the Diffusers library, covering Compel syntax, numerical weights, blend operations, and conjunction prompts for advanced control over generation.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource