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" : "" , "video_url" : "" , "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: Upload your file to Refly using refly file upload Copy the returned file ID from the upload response 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

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