
Generates an anime-style female character in an urban setting. Features cinematic atmosphere with cinematic lighting with floral, with text/typography elements.
1girl, solo, lazypos, anime-style, delicate, dreamy, looking away, cinematic lighting, cinematic, volumetric lighting, natural shadows, soft and gentle colors, soft pastel colors, soft shading, detailed textures, <lora:hololive_kaela_kovalskia_redebut:0.35> kaela20, blonde hair, red eyes, long hair, parted lips, black_oversized_graphic_tee, jeans, white_faux_fur_coat, chunky_sneakers, outdoors, walking, raining, hands in pocket, cityscape, alley, potted plant, flower, <lora:USNR_STYLE_ILL:0.5> usnr, <lora:WSSKX_WAI:0.3>, <lora:TRT_IL:0.65> <lora:Smooth_Booster_v3:0.35> <lora:illustriousXLv01_stabilizer_v1185c:0.5>
Negative prompt: lazyhand, lazyneg, nsfw, (sweat:1.5), (bandana:1.5), hair ribbon, bad perspective, poor lighting, missing limbs, photo, photorealistic, realistic, realism, signature, multiple belts, scarf, jacket, blush, dust, cleavage, belt, goggles, glasses, sunglasses, ribbon bow, navel, lamppost, architecture, multiple benchs, blurry, fused fingers, missing fingers, malformed hands, trash bin, (outdoor_unit:1.5), bag, socks, rolled up pants
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.
Comprehensive prompt engineering guide covering subject description, style keywords, quality modifiers, negative prompts, prompt weighting syntax, and SDXL-specific techniques. The most frequently referenced SD prompt resource online.
Detailed guide for crafting textual descriptions specifically for SDXL image generation, covering the dual-encoder system, optimal prompt lengths, and style-specific formulas for photorealism, illustration, and concept art.
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.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource