Qianwen Video Generation

Qwen Video Generation

Generate videos using Wan and HappyHorse models. All tasks are asynchronous — submit, then poll until completion. This skill is part of QianWen-AI/qianwen-ai.

⚠️ Critical Parameter Differences:

• kf2v (First+Last Frame): Duration is fixed at 5 seconds — other values will fail. Output is silent only.
• Resolution parameters vary by model family, not mode alone: Check the current model catalog before choosing size, resolution, or ratio. For example, happyhorse-1.1-t2v uses resolution + ratio, while wan2.6-t2v uses size.

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.

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 QianWen Console. Only write the actual key value if the user explicitly requests it.

Key Compatibility

Both PAYG (sk-ws-...; legacy sk-...) and Token Plan (sk-sp-...) keys are supported. Detect the API key type without exposing the Key:

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

For Token Plan, fetch and read the current Token Plan model catalog, then use an exact listed model. If CDN access fails, use the local fallback.

Token Plan does not support local file upload; for i2v/r2v/kf2v modes, provide reference images/videos as accessible URLs (https:// or oss://) rather than local paths.

Token Plan supports only specific models — use exactly a model from the references above; do not guess or probe model availability. For PAYG, continue below.

Mode Selection Guide

Model Selection

1. User specified a model → use directly.
2. Consult the qianwen-model-selector skill when model choice depends on capability, scenario, or pricing.

Before selecting, recommending, or defaulting a model, fetch and read the current Qwen video-generation model catalog. It contains the model list, basic model information, mode recommendations, compatibility notes, and defaults. If CDN access fails, use the local fallback.

Endpoint: /services/aigc/video-generation/video-synthesis.

⚠️ 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.

Model details: For more information about a specific model, direct the user to https://www.qianwenai.com/models/<model-name>. Replace <model-name> with the exact model ID; never modify or guess it.

Dynamic model queries: If the qianwen-model-selector skill or QianWen CLI (qianwen models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qianwen-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.mp4, out_2.mp4) to prevent overwrites.

Prerequisites

• API Key: Use the non-plaintext detector in Key Compatibility; do not replace it with a variable-presence check. If no Key is found, use qianwen-ops-auth when available or guide the user to configure DASHSCOPE_API_KEY/QIANWEN_API_KEY in .env. Skills may be installed independently.
• Python 3.9+ (stdlib only, no pip install needed)
• For media merging (concat, trim, audio overlay): see merge-media.md for ffmpeg/moviepy recipes suited to the user's environment

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/video.py --help first to see all available arguments.

python3 <this-skill-dir>/scripts/video.py \
  --request '{"model":"happyhorse-1.1-t2v","prompt":"A detective in a rainy city at night","resolution":"720P","ratio":"16:9","duration":5}' \
  --print-response

Model priority: --model CLI flag > "model" field in --request JSON > configured default. The configured default is used when no model is specified and is not necessarily the newest or strongest model.

Verify Result

• Exit code 0 + response has output.task_id → submission success
• Poll reaches task_status: SUCCEEDED → generation complete
• Non-zero exit, HTTP error, or FAILED status → fail
• Post-execution check: Verify the output video file exists and has non-zero size (ls -la <output_dir>)
• 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 — all 5 modes), 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.

Request Fields Summary

All modes require prompt. See request-fields.md for full field tables per mode.

⚠️ Resolution Parameters by Model Family (Critical)

The resolution field varies by model family. Check the model catalog above before choosing between size, resolution, and ratio; using the wrong field can cause the API call to fail.