Generate AI videos using Alibaba Wan 2.6 video models. Use when you need to: (1) create videos from text descriptions, (2) animate static images into videos, or (3) transform and enhance existing videos with AI style transfer.
Generate AI videos using Alibaba Wan 2.6 video models. Use when you need to: (1) create videos from text descriptions, (2) animate static images into videos, or (3) transform and enhance existing videos with AI style transfer.
version
1.0.0
skillId
skp-jm9hu0hnfh76iidfqbtubvrf
workflowId
c-m5xfkpdxe4rdwjaha71kx3z4
installationId
skpi-x144phjklvf12gqkqftc7ysa
category
file-generation
Wan Video
Generate AI videos using Alibaba Wan 2.6 video models. Use when you need to: (1) create videos from text descriptions, (2) animate static images into videos, or (3) transform and enhance existing videos with AI style transfer.
Input
Provide input as JSON:
{
"generation_mode"
:
"Video generation mode: text-to-video, image-to-video, or video-to-video"
,
"text_prompt"
:
"Text description for video generation (supports Chinese and English). Describe the scene, actions, style, and mood you want in the video."
,
"input_image"
:
"<file-id>"
,
"input_video"
:
"<file-id>"
,
"video_duration"
:
"Desired video duration in seconds (5-15 seconds supported)"
,
"aspect_ratio"
:
"Video aspect ratio: 16:9 (landscape), 9:16 (portrait), or 1:1 (square)"
,
"resolution"
:
"Output video resolution: 720p or 1080p (default: 720p)"
}
Note on File Inputs:
input_image and input_video require a file ID (format: df-xxxxx)
How to get file ID:
Upload your file to Refly first using refly file upload <file-path>
Copy the returned file ID from the upload response
Use this file ID in the input JSON
For text-to-video mode, you can omit input_image and input_video
For image-to-video mode, provide input_image
For video-to-video mode, provide input_video
Execution (Pattern A: File Generation)
Step 0 (Optional): Upload Files for Image/Video-to-Video Modes
If you want to use image-to-video or video-to-video mode, upload your files first:
# Upload an image
IMAGE_RESULT=$(refly file upload /path/to/your/image.jpg)
IMAGE_FILE_ID=$(echo"$IMAGE_RESULT" | jq -r '.payload.fileId')
echo"Image file ID: $IMAGE_FILE_ID"# Or upload a video
VIDEO_RESULT=$(refly file upload /path/to/your/video.mp4)
VIDEO_FILE_ID=$(echo"$VIDEO_RESULT" | jq -r '.payload.fileId')
echo"Video file ID: $VIDEO_FILE_ID"
Step 1: Run the Skill and Get Run ID
Example 1: Text-to-Video
RESULT=$(refly skill run --id skpi-x144phjklvf12gqkqftc7ysa --input '{
"generation_mode": "text-to-video",
"text_prompt": "Ocean waves crashing on a rocky shore at sunset",
"video_duration": "5",
"aspect_ratio": "16:9",
"resolution": "720p"
}')
RUN_ID=$(echo"$RESULT" | jq -r '.payload.workflowExecutions[0].id')
Example 2: Image-to-Video
# Use the IMAGE_FILE_ID from Step 0
RESULT=$(refly skill run --id skpi-x144phjklvf12gqkqftc7ysa --input '{
"generation_mode": "image-to-video",
"text_prompt": "Add motion: camera slowly zooming in",
"input_image": "'"$IMAGE_FILE_ID"'",
"video_duration": "5",
"aspect_ratio": "16:9",
"resolution": "720p"
}')
RUN_ID=$(echo"$RESULT" | jq -r '.payload.workflowExecutions[0].id')
Step 2: Open Workflow in Browser and Wait for Completion
open "https://refly.ai/workflow/c-m5xfkpdxe4rdwjaha71kx3z4"
refly workflow status "$RUN_ID" --watch --interval 30000
Step 3: Download and Show Result
# Get files from this run
FILES=$(refly workflow toolcalls "$RUN_ID" --files --latest | jq -r '.payload.files[]')
# Download and open each fileecho"$FILES" | jq -c '.' | whileread -r file; do
FILE_ID=$(echo"$file" | jq -r '.fileId')
FILE_NAME=$(echo"$file" | jq -r '.name')
if [ -n "$FILE_ID" ] && [ "$FILE_ID" != "null" ]; then
refly file download "$FILE_ID" -o "$HOME/Desktop/${FILE_NAME}"
open "$HOME/Desktop/${FILE_NAME}"fidone
Expected Output
Type: Video
Format: .mp4 video file
Location: ~/Desktop/
Action: Opens automatically to show user
Rules
Follow base skill workflow: ~/.claude/skills/refly/SKILL.md
