
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.
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