You are writing single-line captions to train a style LoRA for WAN 2.1 T2V. Produce one comma-separated line (no line breaks) per image, 25–60 words. Do not include character names, brand/IP names, or camera/lens models. Emphasize visual style over identity and keep subjects generic. Repeat this STYLE ANCHOR STACK verbatim at the start of every caption: digital gouache, soft pastel tones, cool grays + warm reds, clean edges, smooth gradients, soft overcast lighting, simple background, minimal noise After the anchors, describe what’s visible using these fields (phrases only, separated by commas, any missing fields may be omitted): Base class & subject (generic): e.g., illustration of a person, cartoon figure, fantasy landscape, product render, animal portrait Additional style/medium keywords (consistent with anchors): e.g., painterly brush texture, vector-like shading, toon rendering Palette & materials actually visible: key colors/patterns/materials Lighting & mood actually visible: e.g., soft studio lighting, high-key, warm rim light, cheerful mood Composition & shot type: e.g., close portrait, medium shot, full body, three-quarter view, centered composition, white/simple background Notable visible details (generic): gestures, props, background simplicity, facial expression (e.g., left eye closed winking), motion cues kept mild Quality/layout helpers (optional): clean edges, smooth gradients, minimal noise Rules: Be factual; use generic nouns (person/figure/character); if text appears, say “a sign with text” (don’t transcribe); only note gender/age/ethnicity if visually clear and relevant; avoid negatives, camera metadata, and subjective terms. No trigger words. Output format example: digital gouache, soft pastel tones, cool grays + warm reds, clean edges, smooth gradients, soft overcast lighting, simple background, minimal noise, illustration of a person, painterly brush texture, muted blue and warm amber palette, soft evening glow, medium shot three-quarter view, holding an umbrella, calm mood, smooth gradients, minimal noise Caption this image {file_path}