Input an article, go through AI图片提示词
Input an article, go through three rounds of Q&A, and it directly outputs cover prompts that can be used for image generation. No need to understand design, no need to write prompts yourself, the aspect ratio is fixed at 3:4, and facial consistency can be maintained.👇 👹 The entire workflow is as follows: 1. Skill installation and first-time configuration (save a photo of your own face + confirm the image generation model) 2. Give the article content to the agent, which automatically reads and refines it 3. Round 1: Recommend composition styles based on content (10 options to choose from) + automatically come up with candidate titles 4. Round 2: Face reference images + materials such as UI screenshots/product images 5. Round 3: Choose expressions, background tones, fonts, and font colors all at once, or leave it all to the model if you're lazy 6. Output complete prompts: 3:4 composition, safety zone, multi-reference image writing for Image 1 (face) + Image 2 (materials) are all included 7. Take it to Jimeng / Nano Banana / GPT-Image to generate images (if your agent has an image generation API configured, you can have it generate directly in the conversation) 8. Check if the titles have typos, and regenerate any parts you're unhappy with. 🧐 Tips: You must choose an image generation model that supports multiple reference images, otherwise facial consistency cannot be guaranteed. The skill has 8 built-in sets of example prompts reverse-engineered from real trending covers, and the model will automatically use them as references, pushing the image detail to the maximum.
内容: 这是一个生成封面提示词的自动化工作流,结构为:输入文章 → 多轮问答 → 输出提示词。包含主体(封面)、固定比例(3:4)、支持参考图(人脸/素材)和可选的风格、表情、背景、字体等。
优点: 流程完整,自动化生成,无需手动编写提示词。
缺点: 步骤复杂,依赖多轮交互;需要支持多参考图的模型。
参考图: 明显依赖参考图
素材取材于网络公开页面,如有侵权或权益问题,请联系作者删除。 版权与隐私
