Kling 4.0: text, image, reference and video-edit modes with native audio

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "kling-4-text-to-video",
    aspect_ratio="16:9",
    duration=5,
    prompt="A b-boy spins into an explosive windmill on a concrete plaza, legs scissoring overhead, then snaps into a one-handed freeze. The camera orbits him low and fast, keeping pace with the rotation. Hard midday light throws a sharp shadow across the pavement. Sound: a thumping hip-hop beat, sneaker scuffs on concrete, and his sharp exhale as he hits the freeze.",
    resolution="1080p",
)
print(result.get("output"))

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/kling-4-text-to-video" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "aspect_ratio": "16:9",
  "duration": 5,
  "prompt": "A b-boy spins into an explosive windmill on a concrete plaza, legs scissoring overhead, then snaps into a one-handed freeze. The camera orbits him low and fast, keeping pace with the rotation. Hard midday light throws a sharp shadow across the pavement. Sound: a thumping hip-hop beat, sneaker scuffs on concrete, and his sharp exhale as he hits the freeze.",
  "resolution": "1080p"
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "kling-4-image-to-video",
    duration=5,
    first_frame_image="https://segmind-resources.s3.amazonaws.com/input/kling-4-image-to-video-firstframe.jpg",
    prompt="The breakdancer powers into a continuous windmill: his legs scissor in fast wide circles as his body spins flat across the paving stones, one hand then the other slapping down to keep the rotation going. The camera orbits low around him and keeps pace with the spin, hard midday light sweeping his sharp shadow across the ground. Scuffing sneakers, slapping palms and open-air city ambience.",
    resolution="1080p",
)
print(result.get("output"))

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/kling-4-image-to-video" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "duration": 5,
  "first_frame_image": "https://segmind-resources.s3.amazonaws.com/input/kling-4-image-to-video-firstframe.jpg",
  "prompt": "The breakdancer powers into a continuous windmill: his legs scissor in fast wide circles as his body spins flat across the paving stones, one hand then the other slapping down to keep the rotation going. The camera orbits low around him and keeps pace with the spin, hard midday light sweeping his sharp shadow across the ground. Scuffing sneakers, slapping palms and open-air city ambience.",
  "resolution": "1080p"
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "kling-4-reference-to-video",
    aspect_ratio="16:9",
    duration=5,
    prompt="@Image1 is the breakdancer: keep his face, crimson track jacket with white sleeve stripes, yellow bandana, black cargo pants and white high-top sneakers with red laces exactly as in the reference. @Image2 is the setting: keep this sunlit plaza of blue-glass office towers with hard midday shadows on the pale stone. The breakdancer drops to the pavement and performs a fast windmill: his body spins flat and continuous over the stone, legs scissoring open in the air, hands pushing off the ground between rotations. The camera orbits low around him, the glass towers held steady behind. Hard overhead sunlight throws sharp shadows that sweep across the pavement as he turns. Single continuous shot. Sound: open-air city ambience with the scuff and whoosh of his spin on the stone. Do not change his outfit, do not change the plaza buildings, do not add other people, captions or logos.",
    reference_images=[
        "https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image1-dancer.jpg",
        "https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image2-plaza.jpg",
    ],
    resolution="1080p",
)
print(result.get("output"))

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/kling-4-reference-to-video" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "aspect_ratio": "16:9",
  "duration": 5,
  "prompt": "@Image1 is the breakdancer: keep his face, crimson track jacket with white sleeve stripes, yellow bandana, black cargo pants and white high-top sneakers with red laces exactly as in the reference. @Image2 is the setting: keep this sunlit plaza of blue-glass office towers with hard midday shadows on the pale stone. The breakdancer drops to the pavement and performs a fast windmill: his body spins flat and continuous over the stone, legs scissoring open in the air, hands pushing off the ground between rotations. The camera orbits low around him, the glass towers held steady behind. Hard overhead sunlight throws sharp shadows that sweep across the pavement as he turns. Single continuous shot. Sound: open-air city ambience with the scuff and whoosh of his spin on the stone. Do not change his outfit, do not change the plaza buildings, do not add other people, captions or logos.",
  "reference_images": [
    "https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image1-dancer.jpg",
    "https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image2-plaza.jpg"
  ],
  "resolution": "1080p"
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "kling-4-video-edit",
    aspect_ratio="adaptive",
    duration=5,
    prompt="Transform the scene into a violent daytime thunderstorm: towering slate-grey storm clouds roll over the plaza, heavy rain falls in sheets, a sharp lightning flash lights the glass towers, and the pale paving turns to a wet mirror with splashing puddles. Keep the breakdancer's windmill spin, his limbs and the locked camera framing exactly as in the source.",
    resolution="720p",
    video="https://segmind-resources.s3.amazonaws.com/input/kling-4-video-edit-source-e880568e.mp4",
)
print(result.get("output"))

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/kling-4-video-edit" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "aspect_ratio": "adaptive",
  "duration": 5,
  "prompt": "Transform the scene into a violent daytime thunderstorm: towering slate-grey storm clouds roll over the plaza, heavy rain falls in sheets, a sharp lightning flash lights the glass towers, and the pale paving turns to a wet mirror with splashing puddles. Keep the breakdancer'\''s windmill spin, his limbs and the locked camera framing exactly as in the source.",
  "resolution": "720p",
  "video": "https://segmind-resources.s3.amazonaws.com/input/kling-4-video-edit-source-e880568e.mp4"
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"