qwen▌

Category: test

Category: test \n Minimal Viable Test \n Goals \n \n Validate only the minimal request path for this skill. \n If execution fails, record exact error details without guessing parameters. \n \n Prerequisites \n \n Prepare authentication and region settings based on the skill instructions. \n Target skill: skills/ai/image/alicloud-ai-image-qwen-image \n \n Test Steps (Minimal) \n \n Open the target skill SKILL.md and choose one minimal input example. \n Send one minimal request or run the example

Category: test

Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Best for professional text rendering and complex designs.

Category: provider

Category: provider

Generate images using Qwen models via Alibaba DashScope SDK with normalized request/response mapping. \n \n Supports four Qwen image generation models: qwen-image , qwen-image-plus , qwen-image-max , and versioned snapshots with consistent image.generate interface \n Normalized request parameters include prompt, negative_prompt, size (WxH format), optional style, seed, and reference_image for reproducibility and conditional generation \n Requires DASHSCOPE_API_KEY environment variable or credent

Qwen ASR \n Transcribe an audio file (wav/mp3/ogg...) to text using Qwen ASR. No configuration or API key required. \n Usage \n uv run scripts/main.py -f audio.wav\n \n cat audio.mp3 | uv run scripts/main.py > transcript.txt\n \n curl https://example.com/audio.ogg | uv run scripts/main.py\n

Use the bundled scripts. Configure DASHSCOPE_API_KEY in one of:

AI-powered image editing using Qwen-Image-Edit-2511 via RunPod serverless.