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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | kling-video |
| description | 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. |
| tags | ["ai-video","media-generation"] |
| version | 1.0.0 |
| skillId | skp-d8eft4uduju18mhdv19pnpeb |
| workflowId | c-p3ydudm0cbdu13cmqodjqwhu |
| installationId | skpi-rzakvguz9m7memgp3o6dokta |
| triggers | ["kling video","text to video","image to video","video generation","ai avatar"] |
| category | file-generation |
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.
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_url and video_url require a file ID (format: df-xxxxx)refly file upload <file-path>image_url and video_urlimage_urlvideo_url# 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: $VIDEO_FILE_ID"
Example 1: Text-to-Video
RESULT=$(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')
open "https://refly.ai/workflow/c-p3ydudm0cbdu13cmqodjqwhu"
refly workflow status "$RUN_ID" --watch --interval 30000
# Get files from this run
FILES=$(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
~/Desktop/Follow base skill workflow: ~/.claude/skills/refly/SKILL.md