kling-video

Original：🇺🇸 English
Translated

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.

8installs
Sourcerefly-ai/refly-skills
Added on

NPX Install

npx skill4agent add refly-ai/refly-skills kling-video

Tags

Translated version includes tags in frontmatter
ai-video-generationkling-modeltext-to-videoimage-to-videovideo-transformation

SKILL.md Content

View Translation Comparison →

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:
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_url
    and 
    video_url
    require a file ID (format: 
    df-xxxxx
    )
  • How to get file ID:
    1. Upload your file to Refly using 
      refly file upload <file-path>
    2. Copy the returned file ID from the upload response
    3. Use this file ID in the input JSON
  • For text-to-video mode, omit both 
    image_url
    and 
    video_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

bash
# 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
bash
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 "$RESULT" | jq -r '.payload.workflowExecutions[0].id')
Example 2: Image-to-Video
bash
# Use the IMAGE_FILE_ID from Step 0
RESULT=$(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

bash
open "https://refly.ai/workflow/c-p3ydudm0cbdu13cmqodjqwhu"
refly workflow status "$RUN_ID" --watch --interval 30000

Step 3: Download and Show Result

bash
# 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