skills/qwencloud/qwencloud-ai/qwencloud-image-generation

qwencloud-image-generation

SKILL.md

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.
  1. User specified a model → use directly.
  2. Consult the qwencloud-model-selector skill when model choice depends on requirement, scenario, or pricing.
  3. 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.
  4. Reference images / image editing / interleaved outputwan2.6-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:

python3 --version  # must be 3.9+

If python3 is not found, try python --version or 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.

# 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_idsuccess
  • 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 — 1280*1280 (t2i default), 1K/2K or width*height (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.

  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

Weekly Installs
9
GitHub Stars
15
First Seen
3 days ago
Installed on
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