Curated GitHub Gist with copy-paste SDXL prompt examples organized by category (portraits, landscapes, sci-fi, fantasy, product photography) with specific quality modifiers and style keywords tested on SDXL.
SDXL Prompt Examples Collection: **Portrait**: "cinematic photo of a woman, 35mm photograph, film grain, bokeh, professional, 4k, highly detailed, natural skin texture" **Landscape**: "epic landscape, dramatic sky, volumetric clouds, golden hour, national geographic, 8k, ultra wide angle, sharp focus" **Sci-Fi**: "futuristic city, cyberpunk, neon lights, rain, blade runner style, cinematic composition, ray tracing, octane render" **Fantasy**: "fantasy art, magical forest, ethereal lighting, mystical creature, digital painting, trending on artstation, concept art" **Product**: "product photography, [item] on white background, studio lighting, commercial photography, high-end, clean, minimal"
Copy and modify these tested SDXL prompts for your use case. Replace bracketed placeholders with your specific subjects.
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