qwencloud-image-generation

Qwen Image Generation

Generate and edit images using Wan and Qwen Image models. Supports text-to-image, reference-image editing (style transfer, subject consistency, multi-image composition, text rendering), and interleaved text-image output. This skill is part of qwencloud/qwencloud-ai.

Skill directory

Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.

Location	Purpose
scripts/image.py	Default execution — sync/async, upload, download
references/execution-guide.md	Fallback: curl (sync/async), code generation
references/prompt-guide.md	Prompt formulas, style keywords, negative_prompt, prompt_extend decision
references/api-guide.md	API supplement
references/sources.md	Official documentation URLs

Security

NEVER output any API key or credential in plaintext. Always use variable references ($QWENCLOUD_API_KEY in shell, os.environ["QWENCLOUD_API_KEY"] in Python). The scripts accept QWENCLOUD_API_KEY, then QWEN_API_KEY, then DASHSCOPE_API_KEY. Any check or detection of credentials must be non-plaintext: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of .env or config files that may contain secrets.

When the API key is not configured, NEVER ask the user to provide it directly. Instead, help create a .env file with a placeholder (QWENCLOUD_API_KEY=sk-your-key-here) and instruct the user to replace it with their actual key from the QwenCloud Console. Only write the actual key value if the user explicitly requests it.

Key Compatibility

Scripts support both standard QwenCloud API keys (sk-...) and Token Plan keys (sk-sp-...). Token Plan keys are automatically routed to the Token Plan endpoint for supported image models — see the Token Plan model catalog. If CDN access fails, use the local fallback.

Token Plan: do not use curl; always use the bundled Python script.

Coding Plan keys (also sk-sp- prefix but purchased via Coding Plan subscription) cannot be used — image generation models are not available on Coding Plan. The script detects key type at startup and routes accordingly. If qwencloud-ops-auth is installed, see its references/codingplan.md for full details.

Detect the API key type without exposing the key:

python3 -c "
import sys; sys.path.insert(0, 'scripts')
from qwencloud_lib import detect_api_key_type
print(detect_api_key_type('scripts/qwencloud_lib.py'))
"

Output	Meaning
token-plan	Token Plan key detected (sk-sp- prefix)
payg	Standard PAYG key detected
not-set	No API key found in environment

Mode Selection Guide

Before choosing a mode, fetch and read the current QwenCloud image-generation model catalog. It contains the mode-to-model recommendations, model list, basic model information, compatibility notes, and default model. If CDN access fails, use the local fallback.

Model Selection

🚫 CRITICAL — Never override user-specified parameters. If the user explicitly specifies a model (in prompt or request JSON), you MUST use exactly that model. Do NOT:

• Replace it with a "better suited" or newer model (e.g., swapping the user's wan2.6-t2i for wan2.7-image because the task "looks like a multi-function job")
• Add parameters the user did not ask for (thinking_mode, color_palette, bbox_list, style hints)
• "Optimize" any explicit user choice

Mode/Model guidance below applies only when the user has NOT specified a model. If the user-specified model cannot achieve what they asked for (e.g. a hard API constraint), execute their choice as given if possible; otherwise surface the constraint to the user and let THEM decide — do not silently switch.

Use the image-generation model catalog linked above for current model families, defaults, recommendations, compatibility, and limits.

1. User specified a model → MANDATORY: use that exact model — do not substitute, do not "optimize", do not add unrequested parameters.
2. Consult the qwencloud-model-selector skill when model choice depends on requirement, scenario, or pricing.
3. No model specified → choose the current default or task-specific recommendation from the model catalog. If the user's requested operation conflicts with a model's documented hard constraint, explain the constraint and let the user decide; never silently replace an explicitly selected model.

⚠️ Important: The model catalog is a point-in-time snapshot and may be outdated. Model availability changes frequently. Always check the official model list for the authoritative, up-to-date catalog before making model decisions.

Model details: For more information about a specific model, direct the user to its detail page: https://www.qwencloud.com/models/<model-name> (replace <model-name> with the exact model ID, e.g. wan2.7-image-pro → https://www.qwencloud.com/models/wan2.7-image-pro). NEVER modify or guess the model name in the URL.

Dynamic model queries: If the qwencloud-model-selector skill or QwenCloud CLI (qwencloud models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qwencloud-usage skill for login flow.

Execution

⚠️ Multiple artifacts: When generating multiple files in a single session, you MUST append a numeric suffix to each filename (e.g. out_1.png, out_2.png) to prevent overwrites.

Prerequisites

• API Key: Check QWENCLOUD_API_KEY, QWEN_API_KEY, then DASHSCOPE_API_KEY using a non-plaintext check only (e.g. in shell: [ -n "$QWENCLOUD_API_KEY" ]; report only "set" or "not set", never the key value). If not set: run the qwencloud-ops-auth skill if available; otherwise guide the user to obtain a key from QwenCloud Console and set it via .env file (echo 'QWENCLOUD_API_KEY=sk-your-key-here' >> .env in project root or current directory) or environment variable. The script searches for .env in the current working directory and the project root. Skills may be installed independently — do not assume qwencloud-ops-auth is present. Note: The script auto-loads .env from the current directory and the project root (in addition to any exported environment variable). A shell check showing $QWENCLOUD_API_KEY as "not set" does NOT mean the script will fail — it may still find the key in .env. Treat the shell check as informational only; the authoritative test is simply running the script (it exits with a clear error if no key is found anywhere).
• Python 3.9+ (stdlib only, no pip install needed)

Environment Check

Before first execution, verify Python is available:

python3 --version  # must be 3.9+

If python3 is unavailable or below 3.9, PAYG may use Path 2 (curl); Token Plan must install Python 3.9+ instead.

Default: Run Script

Script path: Scripts are in the scripts/ subdirectory of this skill's directory (the directory containing this SKILL.md). You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute scripts. Do NOT assume scripts are in the current working directory. Do NOT use cd to switch directories before execution.

Execution note: Run all scripts in the foreground — wait for stdout; do not background.

Discovery: Run python3 <this-skill-dir>/scripts/image.py --help first to see all available arguments.

# Text-to-image (use the default from the CDN model catalog)
python3 <this-skill-dir>/scripts/image.py \
  --request '{"prompt":"A cozy flower shop with wooden door"}' \
  --output output/qwencloud-image-generation/images/out.png \
  --print-response

# Image editing with reference images (wan2.6-image)
python3 <this-skill-dir>/scripts/image.py \
  --model wan2.6-image \
  --request '{"prompt":"Apply watercolor painting style to this photo","reference_images":["https://img.alicdn.com/imgextra/i1/NotRealJustExample/photo.jpg"],"n":1,"size":"1K"}' \
  --output output/qwencloud-image-generation/images/out.png \
  --print-response

# z-image-turbo (sync-only, no n; size omitted → server default 1024*1536)
python3 <this-skill-dir>/scripts/image.py \
  --model z-image-turbo \
  --request '{"prompt":"A sitting orange cat, realistic","prompt_extend":false}' \
  --output output/qwencloud-image-generation/images/out.png \
  --print-response

# qwen-image-3.0-pro (no size → auto-recommended resolution)
python3 <this-skill-dir>/scripts/image.py \
  --model qwen-image-3.0-pro \
  --request '{"prompt":"A poster reading \"限时特惠\"","enable_thinking":true}' \
  --output output/qwencloud-image-generation/images/out.png \
  --print-response

# qwen-mt-image-2.0 (API supports sync/async; bundled script uses async)
python3 <this-skill-dir>/scripts/image.py \
  --model qwen-mt-image-2.0 \
  --request '{"image_url":"https://example.com/poster_zh.jpg","source_lang":"zh","target_lang":"en"}' \
  --output output/qwencloud-image-generation/images/out.png \
  --print-response

More examples (interleaved output, wan2.5-i2i, qwen-image-2.0-pro, qwen-image-plus): See execution-guide.md

Argument	Description
--request '{...}'	JSON request body
--file path.json	Load request from file
--async	Force async mode; the script auto-enables it where its implementation uses async. It is ignored for sync-only models such as qwen-image-max
--model ID	Override model (check the model catalog above for the current default)
--output path	Save image to path (or directory for multi-image output). When writing multiple images to the same directory, files are automatically named using the unique identifier from the OSS URL, preventing overwrites across runs. Explicit file paths still take priority; use distinct filenames across calls to avoid overwriting
--print-response	Print response JSON to stdout

Verify Result

• Exit code 0 + output contains valid JSON with output.results or output.task_id → success
• Non-zero exit, HTTP error, empty response, or error JSON → fail
• Async: submission must return output.task_id; poll must reach task_status: SUCCEEDED
• Post-execution check: Verify the output file exists and has non-zero size (ls -la <output_path>)
• MANDATORY — stderr signal check: After confirming the result, scan the command's stderr output for [ACTION_REQUIRED] or [UPDATE_AVAILABLE]. If either signal is present, you MUST follow the instructions in Update Check below before responding to the user.

On Failure

If the script fails, match the error output against the diagnostic table below to determine the resolution. If no match, read execution-guide.md for alternative paths: curl commands (Path 2 — sync and async), code generation (Path 3), and autonomous resolution (Path 5).

If Python is not available at all → PAYG may use Path 2 (curl); Token Plan must install Python 3.9+.

Error Pattern	Diagnosis	Resolution
command not found: python3	Python not on PATH	Try python or py -3; install Python 3.9+ if missing
Python 3.9+ required	Script version check failed	Upgrade Python to 3.9+
SyntaxError near type hints	Python < 3.9	Upgrade Python to 3.9+
QWENCLOUD_API_KEY/QWEN_API_KEY/DASHSCOPE_API_KEY not found	Missing API key	Obtain key from QwenCloud Console; add to .env: echo 'QWENCLOUD_API_KEY=sk-...' >> .env; or run qwencloud-ops-auth if available
HTTP 401	Invalid or mismatched key	Run qwencloud-ops-auth (non-plaintext check only); verify key is valid
SSL: CERTIFICATE_VERIFY_FAILED	SSL cert issue (proxy/corporate)	macOS: run Install Certificates.command; else set SSL_CERT_FILE env var
URLError / ConnectionError	Network unreachable	Check internet; set HTTPS_PROXY if behind proxy
HTTP 429	Rate limited	Wait and retry with backoff
HTTP 5xx	Server error	Retry with backoff
PermissionError	Can't write output	Use --output to specify writable directory

Quick Reference

Request Fields (Common)

Field	Type	Description
prompt	string	Text description of the image to generate (required; NOT for image translation)
negative_prompt	string	Content to avoid in the image (max 500 chars)
size	string	Resolution; use the model catalog for cataloged limits and the API guide or official documentation for model-specific values not listed there
seed	int	Random seed for reproducibility [0, 2147483647]
model	string	Model ID; check the model catalog above for the current default and supported models
prompt_extend	bool	Enable prompt rewriting (default: true; image editing mode only)
enable_thinking	bool	qwen-image-3.0 only — enhanced reasoning (default: true). Only effective when prompt_extend=true
prompt_extend_mode	string	qwen-image-3.0 only — direct (DPE, default) or agent (APE; t2i only)

Request Fields (wan2.7-image-pro / wan2.7-image — Multi-function)

Field	Type	Description
reference_images	string[]	0–9 image URLs or local paths
reference_image	string	Single image URL/path (shorthand)
size	string	1K, 2K (default), or 4K (pro only, t2i mode). Or pixel dimensions
enable_sequential	bool	true: sequential multi-image mode (n=1–12). false (default): single/batch mode (n=1–4)
n	int	Images to generate. Sequential mode: 1–12 (default 12). Non-sequential: 1–4 (default 4). Billed per image.
thinking_mode	bool	Enable enhanced reasoning for better quality (default: true). Only for t2i (no images, non-sequential)
bbox_list	List[List[List[int]]]	Interactive editing regions. Format: [[[x1,y1,x2,y2],...], ...]. List length = image count. Empty [] for images without edits
color_palette	array	Custom color theme (3–10 colors). Each: {"hex":"#C2D1E6","ratio":"23.51%"}. Sum of ratios = 100%. Non-sequential mode only
watermark	bool	Add "AI Generated" watermark (default: false)

Note: thinking_mode increases latency but improves quality. enable_sequential generates a coherent image sequence (e.g., same character across scenes).

Request Fields (wan2.6-image — Image Editing)

Field	Type	Description
reference_images	string[]	1–4 image URLs or local paths for editing mode; 0–1 for interleave mode
reference_image	string	Single image URL/path (shorthand; reference_images takes precedence)
enable_interleave	bool	false (default): image editing mode; true: interleaved text-image output
n	int	Number of images to generate in editing mode (1–4, default: 1). Billed per image.
max_images	int	Max images in interleave mode (1–5, default: 5). Billed per image.
watermark	bool	Add "AI Generated" watermark (default: false)

Other Models

Use the model catalog linked above for the current model list and model-specific compatibility differences.

Image Translation Request Fields

For an image-translation model selected from the catalog, use image_url, source_lang, and target_lang; do not send prompt. The optional ext object carries domain/style hints, exact-match skip words, terminology pairs, and image-segmentation settings. A successful task with no translatable text may still be billed.

Full parameter tables: See api-guide.md for detailed parameters.

Size Reference (wan2.6-image)

• Editing mode: 1K (default, ~1280×1280) or 2K (~2048×2048)
• Interleave mode: pixel dimensions with total pixels in [768×768, 1280×1280]

Common aspect ratios: 1280*1280 (1:1), 960*1280 (3:4), 1280*960 (4:3), 720*1280 (9:16), 1280*720 (16:9)

Response Fields

Field	Description
image_url	URL of generated image (24h validity). Use this when chaining to another skill.
image_urls	Array of all image URLs (multi-image output, wan2.6-image, qwen-image-edit)
image_count	Number of generated images
local_path	Local file path of the downloaded image. Use this for user preview or non-API operations.
local_paths	Array of local file paths (multi-image output)
interleaved_content	Array of {type, text/image} objects (interleave mode)
width / height	Image dimensions
seed	Seed used

API Details

• Sync endpoint (wan2.6-t2i, wan2.6-image editing, qwen-image-edit series, qwen-image-max, z-image-turbo): POST /api/v1/services/aigc/multimodal-generation/generation
• Async endpoint (wan2.6 and older t2i): POST /api/v1/services/aigc/image-generation/generation with X-DashScope-Async: enable
• Async endpoint (wan2.5-i2i-preview; bundled-script route for qwen-mt-image-2.0): POST /api/v1/services/aigc/image2image/image-synthesis with X-DashScope-Async: enable. The image-translation API itself supports both sync and async; image.py currently implements async submission and polling.
• Async endpoint (qwen-image-plus and qwen-image): POST /api/v1/services/aigc/text2image/image-synthesis with X-DashScope-Async: enable. qwen-image-max is sync-only and must not use this route.
• wan2.6-t2i resolution: Total pixels in [1280x1280, 1440x1440], aspect ratio [1:4, 4:1]
• wan2.6-image resolution: Editing mode [768x768, 2048x2048]; Interleave mode [768x768, 1280x1280]; aspect ratio [1:4, 4:1]
• Input images (wan2.6-image): JPEG/JPG/PNG/BMP/WEBP, 240–8000px per dimension, ≤10MB
• Local files: Script auto-uploads to DashScope temp storage (oss:// URL, 48h TTL). Pass local paths directly — no manual upload step needed.

  ⚠️ Token Plan limitation: Token Plan does not support local file upload. If you are using a Token Plan key (sk-sp-...), provide reference images as publicly accessible https:// URLs instead of local paths.

• Production: Default temp storage has 48h TTL and 100 QPS upload limit — not suitable for production, high-concurrency, or load-testing. To use your own OSS bucket, set QWEN_TMP_OSS_BUCKET and QWEN_TMP_OSS_REGION in .env, install pip install alibabacloud-oss-v2, and provide credentials via QWEN_TMP_OSS_AK_ID / QWEN_TMP_OSS_AK_SECRET or the standard OSS_ACCESS_KEY_ID / OSS_ACCESS_KEY_SECRET. Use a RAM user with least-privilege (oss:PutObject + oss:GetObject on target bucket only). If qwencloud-ops-auth is installed, see its references/custom-oss.md for the full setup guide.
• Interleaved sync: Requires streaming (X-DashScope-Sse: enable + stream: true); use async mode via this script instead

Cross-Skill Chaining

When using generated images as input for another skill (e.g., video-gen i2v, vision analyze):

• Pass image_url directly — do NOT download and re-pass as local path
• All downstream scripts detect URL prefixes (https://, oss://) and pass them through without re-upload
• Use local_path only for user preview or non-API operations (e.g., opening in editor)

Scenario	Use
Feed to another skill (video-gen, vision, image-edit)	image_url (URL)
Show to user / open in editor	local_path (local file)

Error Handling

HTTP	Meaning	Action
401	Invalid or missing API key	Run qwencloud-ops-auth if available; else prompt user to set key (non-plaintext check only)
400	Bad request (invalid prompt, size)	Verify parameters and constraints
429	Rate limited	Retry with exponential backoff
5xx	Server error	Retry with exponential backoff

Usage & billing: Use the qwencloud-usage skill to check usage, free tier quota, and billing directly. Alternatively, the user can visit the QwenCloud console: Usage Analytics | Pay-as-you-go Billing | Coding Plan Billing

NEVER fabricate, guess, or construct usage/billing/console URLs. Only provide the exact links listed in this skill. If a URL is not listed here, do not invent one.

Output Location

Prefer the current working directory. Default subdirectory: ./output/qwencloud-image-generation/.

Write prohibition: NEVER write output files into this skill's installation directory or any skills/ hierarchy. All generated content must go to output/ under the current working directory or a user-specified path.

Token Plan Support

Token Plan keys (sk-sp-...) are supported for select image models. The script auto-routes to the Token Plan endpoint.

⚠️ Token Plan limitation: Token Plan does not support local file upload. If you are using a Token Plan key (sk-sp-...), provide reference images as publicly accessible https:// URLs instead of local paths.

Supported models

Fetch and read the current Token Plan model catalog, then use an exact listed image-generation model. If CDN access fails, use the local fallback.

Not supported via Token Plan

Models not listed as image-capable in the Token Plan model catalog require a PAYG key.

Required header

User-Agent: qwencloud-skills is automatically included.

Update Check (MANDATORY Post-Execution)

After script execution, check stderr for action signals. The script automatically detects update status and emits structured signals. You MUST act on them. This section also applies when the user explicitly asks to check for updates.

Signal: [ACTION_REQUIRED] qwencloud-update-check skill is not installed

When stderr contains this signal, you MUST present the following options to the user and wait for their response before proceeding. Do NOT silently skip this.

The update-check skill is not installed. It keeps you informed about new qwencloud/qwencloud-ai features and bug fixes.

1. Install now — I'll run the install command for you
2. Skip for now — do nothing this time
3. Never remind me — permanently suppress this prompt

After the user responds:

• User chooses 1 → run: npx skills add QwenCloud/qwencloud-ai --skill qwencloud-update-check -y, then run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss
• User chooses 2 → run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss, then continue normally
• User chooses 3 → run: python3 <this-skill-scripts-dir>/gossamer.py --never-install, then continue normally

Signal: [UPDATE_AVAILABLE]

When stderr contains this signal, you MUST append a brief update notice to your response, including the version info and the update command shown in the stderr output.

No signal in stderr

If stderr contains neither [ACTION_REQUIRED] nor [UPDATE_AVAILABLE], no action is needed — the skill is installed and up to date (or cached within 24h).

Explicit user request

When the user explicitly asks to check for updates (e.g. "check for updates", "check version"):

1. Look for qwencloud-update-check/SKILL.md in sibling skill directories.
2. If found — run: python3 <qwencloud-update-check-dir>/scripts/check_update.py --print-response and report the result.
3. If not found — present the install options above.

References

• execution-guide.md — Fallback paths (curl sync/async, code generation, autonomous)
• api-guide.md — API supplementary guide
• sources.md — Official documentation URLs