kling-video
10
总安装量
10
周安装量
#29721
全站排名
安装命令
npx skills add https://github.com/refly-ai/refly-skills --skill kling-video
Agent 安装分布
codex
10
kimi-cli
10
github-copilot
9
gemini-cli
9
cursor
9
opencode
9
Skill 文档
Kling Video
Generate AI videos using Kling video generation models. Use when you need to: (1) create videos from text prompts, (2) animate images into videos, (3) transform existing videos with AI, or (4) create AI avatar videos with speech.
Input
Provide input as JSON:
{
"video_prompt": "Text description for the video you want to generate (e.g., 'A cat walking in a futuristic city at sunset')",
"image_url": "<file-id>",
"video_url": "<file-id>",
"model_version": "Kling model to use: 'o1' for advanced reasoning or 'v2.6' for premium visuals",
"duration": "Video duration in seconds (5-10s supported)",
"aspect_ratio": "Video aspect ratio: '16:9' (landscape), '9:16' (portrait), or '1:1' (square)"
}
Note on File Inputs:
image_urlandvideo_urlrequire a file ID (format:df-xxxxx)- How to get file ID:
- Upload your file to Refly using
refly file upload <file-path> - Copy the returned file ID from the upload response
- Use this file ID in the input JSON
- Upload your file to Refly using
- For text-to-video mode, omit both
image_urlandvideo_url - For image-to-video mode, provide
image_url - For video-to-video mode, provide
video_url
Execution (Pattern A: File Generation)
Step 0 (Optional): Upload Files for Image/Video-to-Video Modes
# Upload an image for image-to-video
IMAGE_RESULT=$(refly file upload /path/to/your/image.jpg)
IMAGE_FILE_ID=$(echo "$IMAGE_RESULT" | jq -r '.payload.fileId')
echo "Image file ID: $IMAGE_FILE_ID"
# Or upload a video for video-to-video
VIDEO_RESULT=$(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-rzakvguz9m7memgp3o6dokta --input '{
"video_prompt": "A cat walking through a futuristic city at sunset",
"duration": "5",
"aspect_ratio": "16:9",
"model_version": "v2.6"
}')
RUN_ID=$(echo "$RESULT" | jq -r '.payload.workflowExecutions[0].id')
Example 2: Image-to-Video
# Use the IMAGE_FILE_ID from Step 0
RESULT=$(refly skill run --id skpi-rzakvguz9m7memgp3o6dokta --input '{
"video_prompt": "Camera slowly zooms in on the scene",
"image_url": "'"$IMAGE_FILE_ID"'",
"duration": "5",
"aspect_ratio": "16:9",
"model_version": "v2.6"
}')
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-p3ydudm0cbdu13cmqodjqwhu"
refly workflow status "$RUN_ID" --watch --interval 30000
Step 3: Download and Show Result
# Get files from this run
FILES=$(refly workflow toolcalls "$RUN_ID" --files --latest | jq -r '.payload.files[]')
# Download and open each file
echo "$FILES" | jq -c '.' | while read -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}"
fi
done
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