
Creates a female character with cat in a garden/meadow setting. Features warm lighting with crystalline, music-themed elements.
Pastel colors, Soft lighting, Dreamlike atmosphere, Luminous highlights, shinning spots, Feminine aesthetic, Dreamy effect, meticulous detail, elegant eyes, soft detailing, detailed linework, beautiful eyes, focus face, high resolution, sharp focus, sparkle, 1girl, headphones, brown hair, black hair, on ground, brown eyes, short hair, on grass, medium hair, blush, shorts, boots, short sleeves, shirt, bracelet, denim shorts, short shorts, watch, ankle boots, t-shirt, on stomach, lying, looking to the side, looking at viewer, grass, outdoors, cat, black cat, animal, solo, legs up, sunlight, full body, red footwear, shoe soles, covered mouth, white shirt, denim, blue shorts, feet up, wristwatch, jewelry, the pose, red socks, lens flare, chromatic aberation, motion blur, (dutch angle:1.1), (depth of field:1.3), masterpiece, best quality, amazing quality, newest, very aesthetic, absurdres, (scenery:1.5), 8k, good anatomy, good shading, ultra detailed, refined details, high resolution, HD, masterwork, emo, CRYOS2, meteorspecificarea, xxx667_illu,glowing,glitch.
Negative prompt: lowres, (bad quality,worst quality:1.2), long neck, bad anatomy,watermark, sketch,jpeg artifacts,ugly, poorly drawn,(censor),cross,
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