Category: provider

Model Studio Z-Image Turbo#

Use Z-Image Turbo for fast text-to-image generation via the DashScope multimodal-generation API.

Critical model name#

Use ONLY this exact model string:

• z-image-turbo

Prerequisites#

• Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).
• Choose region endpoint (Beijing or Singapore). If unsure, pick the most reasonable region or ask the user.

Normalized interface (image.generate)#

Request#

• prompt (string, required)
• size (string, optional) e.g. 1024*1024
• seed (int, optional)
• prompt_extend (bool, optional; default false)
• base_url (string, optional) override API endpoint

Response#

• image_url (string)
• width (int)
• height (int)
• prompt (string)
• rewritten_prompt (string, optional)
• reasoning (string, optional)
• request_id (string)

Quick start (curl)#

bash

curl -sS 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -d '{
    "model": "z-image-turbo",
    "input": {
      "messages": [
        {
          "role": "user",
          "content": [{"text": "A calm lake at dawn, a lone angler casting a line, cinematic lighting"}]
        }
      ]
    },
    "parameters": {
      "size": "1024*1024",
      "prompt_extend": false
    }
  }'

Local helper script#

bash

python skills/ai/image/aliyun-zimage-turbo/scripts/generate_image.py \
  --request '{"prompt":"a fishing scene at dawn, cinematic, realistic","size":"1024*1024"}' \
  --output output/ai-image-zimage-turbo/images/fishing.png \
  --print-response

Size notes#

• Total pixels must be between 512*512 and 2048*2048.
• Prefer common sizes like 1024*1024, 1280*720, 1536*864.

Cost note#

• prompt_extend=true is billed higher than false. Only enable when you need rewritten prompts.

Output location#

• Default output: output/ai-image-zimage-turbo/images/
• Override base dir with OUTPUT_DIR.

Validation#

bash

mkdir -p output/aliyun-zimage-turbo
for f in skills/ai/image/aliyun-zimage-turbo/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-zimage-turbo/validate.txt

Pass criteria: command exits 0 and output/aliyun-zimage-turbo/validate.txt is generated.

Output And Evidence#

• Save artifacts, command outputs, and API response summaries under output/aliyun-zimage-turbo/.
• Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow#

1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
2. Run one minimal read-only query first to verify connectivity and permissions.
3. Execute the target operation with explicit parameters and bounded scope.
4. Verify results and save output/evidence files.

References#

• references/api_reference.md for request/response schema and regional endpoints.
• references/sources.md for official docs.