Agent setup: If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session.

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
`references/agent-compatibility.md`	Agent self-check: register skills in project config for agents that don't auto-load

Security

NEVER output any API key or credential in plaintext. Always use variable references (

$DASHSCOPE_API_KEY

in shell,

os.environ["DASHSCOPE_API_KEY"]

in Python). 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 (

DASHSCOPE_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 require a standard QwenCloud API key (

sk-...

). Coding Plan keys (

sk-sp-...

) cannot be used — image generation models are not available on Coding Plan, and Coding Plan does not support the native QwenCloud API. The script detects

sk-sp-

keys at startup and prints a warning. If qwencloud-ops-auth is installed, see its

references/codingplan.md

for full details.

Mode Selection Guide

User Want	Mode	Model
Generate image from text only	t2i	`wan2.6-t2i` (default)
Edit image / apply style transfer based on 1–4 reference images	image-edit	`wan2.6-image`
Subject consistency: generate new images maintaining subject from references	image-edit	`wan2.6-image`
Multi-image composition: combine style from one image, background from another	image-edit	`wan2.6-image`
Single-image editing preserving subject consistency	i2i	`wan2.5-i2i-preview`
Multi-image fusion: place object from one image into another scene	i2i	`wan2.5-i2i-preview`
Interleaved text-image output (e.g., tutorials, step-by-step guides)	interleave	`wan2.6-image`
Fast text-to-image drafts	t2i	`wan2.2-t2i-flash`
Edit text within images, precise element manipulation	image-edit	`qwen-image-2.0-pro`
Multi-image fusion with realistic textures	image-edit	`qwen-image-2.0-pro`
Posters / complex Chinese+English text rendering	t2i	`qwen-image-2.0-pro`
Text-to-image with fixed aspect ratios (batch)	t2i	`qwen-image-plus` / `qwen-image-max`

Model Selection

Wan Series (default)

Model	Use Case
wan2.6-t2i	Recommended for text-to-image — sync + async, best quality
wan2.6-image	Image editing ONLY (NOT for pure text-to-image) — requires `reference_images` or `enable_interleave: true` . Style transfer, subject consistency (1–4 images), interleaved text-image output, 2K
wan2.5-i2i-preview	Image editing — single-image editing with subject consistency, multi-image fusion (up to 3 images), async-only
wan2.5-t2i-preview	Preview — free size within constraints
wan2.2-t2i-flash	Fast — lower latency
wan2.2-t2i-plus	Professional — improved stability

Qwen Image Series

Model	Use Case
qwen-image-2.0-pro	Fused generation + editing — text rendering, realistic textures, multi-image (1–3 input, 1–6 output)
qwen-image-2.0	Accelerated generation + editing
qwen-image-edit-max	Image editing — 1–6 output images
qwen-image-edit-plus	Image editing — 1–6 output images
qwen-image-edit	Image editing — 1 output image only
qwen-image-plus	Text-to-image — fixed resolutions only (async)
qwen-image-max	Text-to-image — fixed resolutions only

Qwen Image editing models (

qwen-image-2.0-pro

qwen-image-2.0

qwen-image-edit-max/plus/edit

) use the same sync endpoint as

wan2.6-image

(

/multimodal-generation/generation

) with

messages

format. They support text editing in images, element add/delete/replace, style transfer, and multi-image fusion (1–3 input images). Size range: 512x512 to 2048x2048.

qwen-image-2.0-pro

and

qwen-image-2.0

also support pure text-to-image (no reference images needed).

Qwen Image text-to-image models (

qwen-image-plus

qwen-image-max

) use a different endpoint (

/text2image/image-synthesis

) with

input.prompt

format (async-only). They support only 5 fixed resolutions: 1664*928, 1472*1104, 1328*1328, 1104*1472, 928*1664.

Choosing between
wan2.6-image
and
wan2.5-i2i-preview
for image editing:

```
wan2.6-image
```
supports up to 4 images, higher resolution (2K), interleaved text-image output, and sync mode. Use for multi-image style composition, interleaved tutorials.
```
wan2.5-i2i-preview
```
uses a simpler prompt-only editing interface (no messages format), supports up to 3 images, async-only. Use for straightforward single-image edits and multi-image object fusion.

User specified a model → use directly.
Consult the qwencloud-model-selector skill when model choice depends on requirement, scenario, or pricing.
Text-to-image (prompt only, no reference images) → always use
wan2.6-t2i
(default). NEVER use
wan2.6-image
for pure text-to-image — it will error without reference images or
```
enable_interleave: true
```
.
Reference images / image editing / interleaved output →
```
wan2.6-image
```
(preferred) or
```
wan2.5-i2i-preview
```
.

⚠️ Important: The model list above 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.

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 that
```
DASHSCOPE_API_KEY
```
(or
```
QWEN_API_KEY
```
) is set using a non-plaintext check only (e.g. in shell:
```
[ -n "$DASHSCOPE_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 'DASHSCOPE_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.
Python 3.9+ (stdlib only, no pip install needed)

Environment Check

Before first execution, verify Python is available:

bash

python3 --version  # must be 3.9+

python3

is not found, try

python --version

py -3 --version

. If Python is unavailable or below 3.9, skip to Path 2 (curl) in execution-guide.md.

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.

bash

# Text-to-image (wan2.6-t2i, default)
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://example.com/photo.jpg"],"n":1,"size":"1K"}' \
  --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 (required for wan2.5 and older; auto-enabled for qwen-image-plus/max and interleaved output)
`--model ID`	Override model ( `wan2.6-t2i` default; see model list in help)
`--output path`	Save image to path (or directory for multi-image output)
`--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 → skip directly to Path 2 (curl) in execution-guide.md.

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+
`QWEN_API_KEY/DASHSCOPE_API_KEY not found`	Missing API key	Obtain key from QwenCloud Console; add to `.env` : `echo 'DASHSCOPE_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)
`negative_prompt`	string	Content to avoid in the image (max 500 chars)
`size`	string	Resolution — `12801280` (t2i default), `1K` / `2K` or `widthheight` (wan2.6-image)
`seed`	int	Random seed for reproducibility [0, 2147483647]
`model`	string	`wan2.6-t2i` (default) or other Wan model
`prompt_extend`	bool	Enable prompt rewriting (default: true; image editing mode only)

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 (wan2.5-i2i, qwen-image-edit, qwen-image-plus/max)

These models have specific parameter requirements:

Model	Key Differences
`wan2.5-i2i-preview`	async-only, 1–3 images, `prompt+images[]` format (not messages)
`qwen-image-edit-*`	1–3 images, n=1–6 (except `qwen-image-edit` : n=1 only), no interleave
`qwen-image-plus/max`	async-only, n fixed at 1, 5 fixed resolutions only

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):
```
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):

POST /api/v1/services/aigc/image2image/image-synthesis

with

X-DashScope-Async: enable

Async endpoint (qwen-image-plus, qwen-image-max):

POST /api/v1/services/aigc/text2image/image-synthesis

with

X-DashScope-Async: enable

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.
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

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.

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.

Install now — I'll run the install command for you

Skip for now — do nothing this time

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"):

Look for
```
qwencloud-update-check/SKILL.md
```
in sibling skill directories.

If found — run:

python3 <qwencloud-update-check-dir>/scripts/check_update.py --print-response

and report the result.

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

qwencloud-image-generation

NPX Install

Tags

SKILL.md Content

Qwen Image Generation

Skill directory

Security

Key Compatibility

Mode Selection Guide

Model Selection

Wan Series (default)

Qwen Image Series

Execution

Prerequisites

Environment Check

Default: Run Script

Verify Result

On Failure

Quick Reference

Request Fields (Common)

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

Other Models (wan2.5-i2i, qwen-image-edit, qwen-image-plus/max)

Size Reference (wan2.6-image)

Response Fields

API Details

Cross-Skill Chaining

Error Handling

Output Location

Update Check (MANDATORY Post-Execution)

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

Signal:
`[UPDATE_AVAILABLE]`

No signal in stderr

Explicit user request

References