Jiangnan Summer Village Nostalgic Watercolor Anime AI Image Prompt
Jiangnan countryside in midsummer, endless rice paddies lush green, dark green rice waves undulate with the wind, distant ridges meander, a huge banyan tree at the village entrance provides dense shade, with lush branches and thick intertwined roots; under the tree there are bluestone steps, old stone benches, bamboo baskets, and a tethered water buffalo; a clear stream passes through the village, gurgling water, sparkling shoals, several village children play in the shoal, some stepping barefoot in the water, some splashing and laughing, some crouching by the stream catching small fish and shrimp, some sitting on bluestones with pants rolled up; children wear simple old short sleeves, shorts, and plastic sandals, with innocent happy smiles; by the stream there are moss, pebbles, water grass, small lotus leaves, reeds, and wildflowers, the water reflects the banyan tree and the sky; in the distance white-walled black-tiled Jiangnan folk houses, small bridges, bamboo fences, clotheslines, firewood piles, and curling cooking smoke can be seen; overall nostalgic healing watercolor anime illustration style, soft transparent watercolor texture, delicate linework, gentle green-blue color scheme, bright natural light on summer afternoon, slight moisture and heat in the air, open and peaceful scene, strong childhood rural memory feel, HD and ultra HD, rich details, deep depth of field, wide-angle panoramic composition, no modern digital products, no smartphones, no modern toys, no internet-famous architecture, no watermark text.
Content: Main subjects include midsummer countryside rice fields, banyan tree, stream, and playing children; settings include folk houses, bridge, smoke; nostalgic healing watercolor anime style with soft texture and linework; wide-angle panoramic composition, bright sunlight, green-blue palette; rich details with negative prompts excluding modern elements.
Pros: Effective blend of visual elements and emotional tone; explicit negatives improve output control.
Cons: Slightly overloaded with objects; style descriptors are a bit repetitive.
Reference image: No obvious reference-image dependency
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