An image-to-image prompt designed to preserve the identity and facial features of an uploaded person while applying a 3D anime watercolor style. It specifies details like expressive eyes, flushed cheeks, casual clothing, and a soft abstract watercolor background with painterly textures.

{
"prompt": "Use the uploaded reference image to **preserve 100% of the facial features, identity, age, skin tone, and expression** of the person. Apply a **3D anime watercolor style** while keeping the face identical. The person has long wavy dark brown hair (or adapted from reference), fair skin, big expressive eyes, flushed cheeks, playful or gentle expression. Clothing: loose casual top ({argument name="top color" default="pink t-shirt"} or reference-inspired), high-waisted pants, shoes optional. Pose: sitting or standing naturally, one hand holding an object ({argument name="held object" default="lollipop, drink, or personal prop"}), other hand relaxed. Background: outdoor urban or soft abstract watercolor environment, soft atmospheric lighting, warm or pastel tones, painterly texture with subtle bokeh. Highly detailed, cinematic, vibrant colors, soft depth of field, masterpiece quality.",
"negative_prompt": "blurry, low quality, deformed, extra limbs, bad anatomy, watermark, text overlay, realistic photo, 3d render, cartoonish (non-anime), overexposed, underexposed, ugly face, bad hands, face altered, identity changed",
"parameters": {
"steps": 50,
"cfg_scale": 7.5,
"sampler": "Euler a or DPM++ 2M Karras",
"strength": 0.55,
"noise": 0.3,
"width": 832,
"height": 1216,
"aspect_ratio": "2:3"
},
"usage_instructions": "Upload your reference image in img2img mode. The AI will **keep the face exactly as in the reference**, while applying the anime 3D watercolor style, clothing, and environment. Keep strength around 0.5-0.6 for perfect face match with stylization. Increase slightly for minor pose or background variations."
}CC BY 4.0. Prompt pages keep the original attribution and source links from the upstream gallery records stored in the database.

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