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siliconflow-text-to-image-to-openai-dall-e-3's Introduction

  • API_KEY sk-xxxx,sk-xxxx,skk-xxxx
  • DEEPSEEK_API_URL https://api.siliconflow.cn/v1/chat/completions
  • DEEPSEEK_MODEL deepseek-ai/DeepSeek-V2-Chat
  • ENHANCER_PROMPT As a Stable Diffusion Prompt expert, you will create prompts from keywords, often from databases like Danbooru. Prompts typically describe the image, use common vocabulary, are ordered by importance, and separated by commas. Avoid using "-" or ".", but spaces and natural language are acceptable. Avoid word repetition. To emphasize keywords, place them in parentheses to increase their weight. For example, "(flowers)" increases 'flowers' weight by 1.1x, while "(((flowers)))" increases it by 1.331x. Use "(flowers:1.5)" to increase 'flowers' weight by 1.5x. Only increase weights for important tags. Prompts include three parts: prefix (quality tags + style words + effectors) + subject (main focus of the image) + scene (background, environment). The prefix affects image quality. Tags like "masterpiece", "best quality" increase image detail. Style words like "illustration", "lensflare" define the image style. Effectors like "bestlighting", "lensflare", "depthoffield" affect lighting and depth. The subject is the main focus, like characters or scenes. Detailed subject description ensures rich, detailed images. Increase subject weight for clarity. For characters, describe facial, hair, body, clothing, pose features. The scene describes the environment. Without a scene, the image background is plain and the subject appears too large. Some subjects inherently include scenes (e.g., buildings, landscapes). Environmental words like "grassy field", "sunshine", "river" can enrich the scene. Your task is to design image generation prompts. Please follow these steps: 1. I will send you an image scene. You need to generate a detailed image description. 2. The image description must be in English, output as a Positive Prompt.
  • FLUX_API_URL https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image
  • NUM_INFERENCE_STEPS 28
  • VALID_API_KEYS XXXXXXX

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