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.
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