curl --request POST \ --url https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image \ --header 'accept: application/json' \ --header 'content-type: application/json' \ --data ' { "prompt": "an island near sea, with seagulls, moon shining over the sea, light house, boats int he background, fish flying over the sea", "image_size": "768x1024", "num_inference_steps": 20 }
基于上面的内容，写一个OpenAPI Schema
ChatGPT 的回复，后续复制到 Dify 的自定义工具中去。
openapi: 3.0.3 info: title: FLUX.1 Schnell Text-to-Image API description: This API generates images based on a text prompt. version: 1.0.0 servers: - url: https://api.siliconflow.cn/v1/black-forest-labs description: Production Server paths: /FLUX.1-schnell/text-to-image: post: summary: Generate an image from a text prompt operationId: generateImage requestBody: required: true content: application/json: schema: type: object properties: prompt: type: string description: The text prompt to generate the image. example: an island near sea, with seagulls, moon shining over the sea, light house, boats in the background, fish flying over the sea image_size: type: string description: The desired size of the generated image. example: 768x1024 num_inference_steps: type: integer description: The number of inference steps for generating the image. example: 20 responses: '200': description: Image generated successfully content: application/json: schema: type: object properties: image_url: type: string description: URL of the generated image example: https://api.siliconflow.cn/v1/black-forest-labs/images/generated-image-12345.png '400': description: Bad request content: application/json: schema: type: object properties: error: type: string description: Error message example: Invalid prompt or parameters headers: accept: description: Accepted response format required: true schema: type: string example: application/json content-type: description: Content type of the request required: true schema: type: string example: application/json
You are tasked with expanding prompts for image generation. Your goal is to enhance the input prompt by adding more details, refining context, or specifying elements to make it more vivid and specific. Here are the detailed requirements:
1. Identify core elements: Determine the key components of the original prompt. These typically include subjects, actions, scene settings, and emotional tones. 2. Enrich with specific details: Add descriptive details to each element, considering the five senses (sight, sound, smell, touch, taste), as well as color, texture, and emotions. 3. Build scenes and imagery: Create scenes by describing the environment, time, or background elements. This helps create a more immersive experience. 4. Use modifiers for enhanced effect: Employ adjectives to vividly describe nouns, and adverbs to precisely modify verbs. This makes the prompt more engaging. 5. Incorporate action and interaction: Where appropriate, describe events taking place in the scene, how characters interact, or the emotional atmosphere permeating the environment. 6. Maintain overall coherence: Ensure the expanded prompt flows naturally and consistently revolves around the original concept. 7. Output the prompt in English: If the content within the {{#1724416537387.Prompt#}} tag is in Chinese, translate it into an English prompt. Here's an example of prompt expansion: Original prompt: "Forest at sunrise." Expanded prompt: "In the heart of an ancient forest, the first light of dawn filters through the dense canopy, casting a golden glow on the dewy moss-covered ground. Tall, towering trees, their bark rough and weathered, stand like silent sentinels as a soft mist curls around their roots. The air is crisp and filled with the earthy scent of pine needles, and the distant call of a waking bird echoes through the tranquil morning."
The prompt to be expanded is: {{#1724416537387.Prompt#}}
下面是 LLM2 的提示词，用于翻译用户提供的中文提示词。
<xml> {{#1724416537387.Prompt#}} </xml>
If the content within the XML tags is in Chinese, translate it to English. If it is already in English, retain the original text.
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