
Generates an anime-style female character. Features dramatic atmosphere with neon lighting.
masterpiece, best quality, ultra-detailed, anime, In a bustling hall filled to the brim with colorful lights and distorted shapes, her hair is the color glows in shades of yellow, orange, and gray. As her voice fades around elationist lines as she takes a deep breath of hum in front of it, her face radiating confidence and strength captivated in an epic movie-themed scene reminiscent of his love life of John "The Lady". Winter, Screen print, Joyful, Solarpunk Art, bright neon lighting, F/5, Cinestill, stylized by Takasaki Masaharu, Naoko Takeuchi, Yasutomo Oka
Negative prompt: masterpiece, best quality, ultra-detailed, anime, In a bustling hall filled to the brim with colorful lights and distorted shapes, her hair is the color glows in shades of yellow, orange, and gray. As her voice fades around elationist lines as she takes a deep breath of hum in front of it, her face radiating confidence and strength captivated in an epic movie-themed scene reminiscent of his love life of John "The Lady". Winter, Screen print, Joyful, Solarpunk Art, bright neon lighting, F/5, Cine
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