
Creates an anime-style female character in a garden/meadow setting. Features volumetric lighting.
newanimecore, masterpiece, best quality, newest, masterpiece, best quality, amazing quality, very aesthetic, dynamic pose, foreshortening, extreme perspective, absurdres, highres, depth of field, volumetric lighting, 1girl, solo, porcelain skin, white skin, long hair, braided, bows in hair, carousel, merry-go-round, dancing around, night, lights, colourful, strong colours, long skirt, long wide sleeves, puffy shoulders, upper body
Negative prompt: (worst quality:2), (low quality:2), (normal quality:2), bad anatomy, bad proportions, poorly drawn face, poorly drawn hands, missing fingers, extra limbs, blurry, pixelated, distorted, lowres, jpeg artifacts, watermark, signature, text, (deformed:1.5), (bad hands:1.3), overexposed, underexposed, censored, mutated, extra fingers, cloned face, bad eyes
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.