FLUX Painting Robot (English)

Author: dugufeng Tags: language:english, image-generation, flux, siliconflow, qwen, python

This is an AI painting workflow. It receives the user's English painting request, uses the Qwen-8B LLM to intelligently convert it into an optimized English Flux.1 painting prompt, and then calls a Python script and the SiliconFlow API (FLUX.1-schnell model) to generate the final image.

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🛠️ 关键元数据 (Technical Details)

• Dify Version: v1.9.0+ (Please fill in the Dify version you have tested)

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🚀 关键前置条件 (Pre-conditions)

1. SiliconFlow API Key:

• This workflow requires a SiliconFlow API Key.
• You must configure this Key in your Dify workflow's "Variables" -> "Environment Variables".

🚀 如何使用

1. [CORE] Set Environment Variable:

   • In your Dify workflow, navigate to "Variables" -> "Environment Variables" and click "Add Variable".
   • Name: apikey
   • Value: sk-xxxxxxxx (Paste your actual API Key from SiliconFlow)

2. Configure Tools:

   • No other tools need configuration. This workflow is 100% self-contained.

3. Run the Workflow:

   • In the "Start" node's text variable, enter your English painting request (e.g., "A cat on the moon, cyberpunk style").
   • Run the workflow and check the "End" node for the result (the generated image).

🛠️ 工作流节点 (Optional)

• Start Node: Receives the user's English text input.
• LLM (Gen-Prompt): (Uses Qwen/Qwen3-8B) Converts the English request into an optimized English Flux.1 prompt.
• Code Execution (FLUX1-Painting): (Python script) Receives the English prompt and apikey, calls the black-forest-labs/FLUX.1-schnell API to generate the image, and returns a Markdown-formatted image link.
• End Node: Outputs the final AI painting result.

📸 运行截图 (Highly Recommended)

工作流图

运行示例