alicloud-ai-image-qwen-image-edit

Category: provider Pass criteria: command exits 0 and output/alicloud-ai-image-qwen-image-edit/validate.txt is generated. Use Qwen Image Edit models for instruction-based image editing instead of text-to-image generation. Use one of these exact model strings: Prepare a normalized request JSON and validate response schema: - Save edit request payloads, result URLs, and model parameters under output/alicloud-ai-image-qwen-image-edit/ . - Keep one sample request/response pair for reproducibility. - qwen-image-edit - qwen-image-edit-plus - qwen-image-edit-max - qwen-image-2.0 - qwen-image-2.0-pro - qwen-image-edit-plus-2025-12-15 - qwen-image-edit-max-2026-01-16 - Install SDK in a virtual environment: - Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials . - prompt (string, required) - image (string | bytes, required) source image URL/path/bytes - mask (string | bytes, optional) inpaint region mask - size (string, optional) e.g. 1024*1024 - seed (int, optional) - image_url (string) - seed (int) - request_id (string) - Keep prompts task-oriented: describe what to change and what to preserve. - Use masks for deterministic local edits.