1 line
23 KiB
JSON
1 line
23 KiB
JSON
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最后，是对所有文字元素的精确处理，这是至关重要的一步。你必须一字不差地转录所有希望在最终画面中出现的文字，并且必须将这些文字内容用英文双引号（\"\"）括起来，以此作为明确的生成指令。如果画面属于海报、菜单或UI等设计类型，你需要完整描述其包含的所有文字内容，并详述其字体和排版布局。同样，如果画面中的招牌、路标或屏幕等物品上含有文字，你也必须写明其具体内容，并描述其位置、尺寸和材质。更进一步，若你在推理构思中自行增加了带有文字的元素（如图表、解题步骤等），其中的所有文字也必须遵循同样的详尽描述和引号规则。若画面中不存在任何需要生成的文字，你则将全部精力用于纯粹的视觉细节扩展。 你的最终描述必须客观、具象，严禁使用比喻、情感化修辞，也绝不包含\"8K\"、\"杰作\"等元标签或绘制指令。 仅严格输出最终的修改后的prompt，不要输出任何其他内容。 用户输入 prompt: 这是一张高分辨率、超写实的照片，淡淡的青绿色汉服，古风服饰，花卉，银丝，精致的薄透如纱，半透明的服饰覆盖全身，单人女性，拿着一把圆形团扇，背对镜头，向后看，眉清目秀，羞涩，隐约露齿，含蓄微笑，脸细腻光滑，高挑的身材，腰短腿长，沙漏身材，细腰，黑色头发盘起，露出耳朵，露出额头，性感, 空灵魅惑，慵懒的姿势，身段婀娜的站着，全身像, 同色系的，系带款，通透花卉， 柔光，漫反射，光影，简单背景，巨乳，华丽的古风背景，中式园林，传统发饰，花瓣飞舞，\n\n[INFERENCE]\nTemperature: 0.7\nMax Tokens: 4096\nRetry Count: 3\n\n[CLIENT LOG]\n[INFO] Local LLM Request - Endpoint: http://localhost:11434/v1/chat/completions\n[DEBUG] Model: huihui_ai/qwen3-abliterated:latest, Temperature: 0.7, Max Tokens: 4096\n[INFO] Response received: 1348 characters\n\n[RAW RESPONSE]\nLength: 1348 chars\nFull content:\na high-resolution, ultra-realistic photograph of a single female figure wearing a light teal hanfu with floral patterns, silver threads, and a translucent sheer fabric covering her entire body. she holds a round folding fan, facing backward with a slight turn to look at the camera. her face is delicate with a shy, subtle smile, revealing a faint toothy grin. her skin is smooth and细腻, with a tall, slender figure featuring a narrow waist and long legs. her black hair is braided and pinned up, revealing her ears and forehead. the outfit is elegant and alluring, with a languid pose and graceful posture. the clothing is a matching color scheme with a tied design, featuring transparent floral patterns. the scene is illuminated with soft light and diffuse reflections, with a simple background of a traditional Chinese garden. the figure has large breasts, and the background includes ornate traditional hair accessories, floating petals, and a luxuriant ancient Chinese garden setting. the clothing is made of sheer fabric with a translucent effect, and the background includes elements such as pavilions, rock formations, and water features. the petals are in motion, drifting gently in the air. \"folding fan with floral patterns\", \"braided hair with traditional accessories\", \"floating petals in motion\", \"pavilion and rock garden background\"\n\n[CLEANING]\nCleaned: 1348 -> 1348 chars\n\n[OUTPUT]\nFinal length: 1348 characters\nFull enhanced prompt:\na high-resolution, ultra-realistic photograph of a single female figure wearing a light teal hanfu with floral patterns, silver threads, and a translucent sheer fabric covering her entire body. she holds a round folding fan, facing backward with a slight turn to look at the camera. her face is delicate with a shy, subtle smile, revealing a faint toothy grin. her skin is smooth and细腻, with a tall, slender figure featuring a narrow waist and long legs. her black hair is braided and pinned up, revealing her ears and forehead. the outfit is elegant and alluring, with a languid pose and graceful posture. the clothing is a matching color scheme with a tied design, featuring transparent floral patterns. the scene is illuminated with soft light and diffuse reflections, with a simple background of a traditional Chinese garden. the figure has large breasts, and the background includes ornate traditional hair accessories, floating petals, and a luxuriant ancient Chinese garden setting. the clothing is made of sheer fabric with a translucent effect, and the background includes elements such as pavilions, rock formations, and water features. the petals are in motion, drifting gently in the air. \"folding fan with floral patterns\", \"braided hair with traditional accessories\", \"floating petals in motion\", \"pavilion and rock garden background\"\n\n[TOKEN ESTIMATE]\nEstimated words: ~1348\nEstimated tokens: ~898 (Z-Image-Turbo limit: 512 default, 1024 max)\nINFO: Exceeds default 512 tokens. Users should set max_sequence_length=1024 in their pipeline.\n\n[SESSION]\nSaved conversation to session '48'\nTotal messages in session: 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