HeyGen Video

# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/heygen-video-1" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A cheesemonger in her fifties, in a navy-and-white striped apron over a grey shirt, stands behind a worn wooden counter stacked with wheels of aged cheese in a small corner shop. Locked-off camera on a tripod, a medium shot framing her from the waist up, no camera movement. Daylight falls through the shopfront window to her left. She lifts one pale wedge of cheese toward the lens, holds it steady, and says to camera: \"This one'\''s aged eighteen months. Taste it.\" Visible skin texture, pores and fine lines on her face and hands; no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. Plain apron and shelving, no logos, brand names, printed words or badges anywhere in frame. Sound: her voice close and clear, a short knife tap against the hard rind, a doorbell jingling once in the background, the low murmur of a few customers further back. No music.",
  "resolution": "768p",
  "duration": 8,
  "aspect_ratio": "auto",
  "prompt_enhancement": "quality"
}' | 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(
    "heygen-video-1",
    prompt="A cheesemonger in her fifties, in a navy-and-white striped apron over a grey shirt, stands behind a worn wooden counter stacked with wheels of aged cheese in a small corner shop. Locked-off camera on a tripod, a medium shot framing her from the waist up, no camera movement. Daylight falls through the shopfront window to her left. She lifts one pale wedge of cheese toward the lens, holds it steady, and says to camera: \"This one's aged eighteen months. Taste it.\" Visible skin texture, pores and fine lines on her face and hands; no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. Plain apron and shelving, no logos, brand names, printed words or badges anywhere in frame. Sound: her voice close and clear, a short knife tap against the hard rind, a doorbell jingling once in the background, the low murmur of a few customers further back. No music.",
    resolution="768p",
    duration=8,
    aspect_ratio="auto",
    prompt_enhancement="quality",
)
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/heygen-video-1" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A white-suited astronaut stands on a flat rust-red desert plain beside a squat silver four-legged lander under an overcast dusty-pink sky. Shot on an ARRI Alexa Mini LF, 35mm T2, locked off on a tripod, no camera movement. The astronaut raises one gloved hand in a slow, steady wave toward the lens, the whole arm moving as one piece, then lowers it and holds still, and says to camera, voice close over a suit radio: \"We made it down clean.\" Matte scuffed suit, visible dust on the knees, muted colour, no teal-orange grade. No logos, brand names, printed words or badges anywhere in frame. Sound: the astronaut'\''s voice close and lightly compressed over the radio, a steady regulator hiss inside the helmet, a thin dry wind moving across the plain. No music.",
  "image": "https://segmind-resources.s3.amazonaws.com/input/heygen-video-1-example-image-to-video-733008a1.jpg",
  "resolution": "768p",
  "duration": 8,
  "prompt_enhancement": "quality"
}' | 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(
    "heygen-video-1",
    prompt="A white-suited astronaut stands on a flat rust-red desert plain beside a squat silver four-legged lander under an overcast dusty-pink sky. Shot on an ARRI Alexa Mini LF, 35mm T2, locked off on a tripod, no camera movement. The astronaut raises one gloved hand in a slow, steady wave toward the lens, the whole arm moving as one piece, then lowers it and holds still, and says to camera, voice close over a suit radio: \"We made it down clean.\" Matte scuffed suit, visible dust on the knees, muted colour, no teal-orange grade. No logos, brand names, printed words or badges anywhere in frame. Sound: the astronaut's voice close and lightly compressed over the radio, a steady regulator hiss inside the helmet, a thin dry wind moving across the plain. No music.",
    image="https://segmind-resources.s3.amazonaws.com/input/heygen-video-1-example-image-to-video-733008a1.jpg",
    resolution="768p",
    duration=8,
    prompt_enhancement="quality",
)
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/heygen-video-1" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A fashion model stands against a plain pale-grey studio wall wearing the silk scarf from <Picture 1> knotted at her neck, its terracotta-and-sage diamond print clearly visible and matching the reference exactly. Shot on an ARRI Alexa Mini LF, 50mm T2, locked off on a tripod, no camera movement. She turns slowly from profile to face the camera and holds still, the scarf settling flat against her collar where it meets her shoulders. Natural skin texture, pores and fine lines, no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. Plain wall and clothing, no logos, brand names, printed words or badges anywhere in frame. Sound: quiet studio room tone, the soft rustle of silk as she turns, one faint footstep. No music.",
  "reference_images": [
    "https://segmind-resources.s3.amazonaws.com/input/heygen-video-1-example-reference-to-video-a3e37c5f.jpg"
  ],
  "resolution": "768p",
  "duration": 8,
  "aspect_ratio": "9:16",
  "prompt_enhancement": "quality"
}' | 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(
    "heygen-video-1",
    prompt="A fashion model stands against a plain pale-grey studio wall wearing the silk scarf from <Picture 1> knotted at her neck, its terracotta-and-sage diamond print clearly visible and matching the reference exactly. Shot on an ARRI Alexa Mini LF, 50mm T2, locked off on a tripod, no camera movement. She turns slowly from profile to face the camera and holds still, the scarf settling flat against her collar where it meets her shoulders. Natural skin texture, pores and fine lines, no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. Plain wall and clothing, no logos, brand names, printed words or badges anywhere in frame. Sound: quiet studio room tone, the soft rustle of silk as she turns, one faint footstep. No music.",
    reference_images=[
        "https://segmind-resources.s3.amazonaws.com/input/heygen-video-1-example-reference-to-video-a3e37c5f.jpg",
    ],
    resolution="768p",
    duration=8,
    aspect_ratio="9:16",
    prompt_enhancement="quality",
)
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/heygen-video-1" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A muralist in paint-spattered denim overalls steps back from a plain grey concrete wall freshly painted in tall, bold brush lettering with the single word BLOOM. The only lettering anywhere in frame is the word BLOOM, spelled exactly B L O O M. Shot on an ARRI Alexa Mini LF, 35mm T2, locked off on a tripod, no camera movement. She stands beside the finished wall with her hands at her sides, looks at it, then turns to camera and says: \"Took me all morning.\" Flat daylight from the left. Natural skin texture, pores and fine lines, no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. No other logos, brand names, printed words or badges anywhere in frame. Sound: her voice close and clear, a distant street hum, one passing bicycle bell. No music.",
  "resolution": "768p",
  "duration": 8,
  "aspect_ratio": "auto",
  "prompt_enhancement": "quality"
}' | 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(
    "heygen-video-1",
    prompt="A muralist in paint-spattered denim overalls steps back from a plain grey concrete wall freshly painted in tall, bold brush lettering with the single word BLOOM. The only lettering anywhere in frame is the word BLOOM, spelled exactly B L O O M. Shot on an ARRI Alexa Mini LF, 35mm T2, locked off on a tripod, no camera movement. She stands beside the finished wall with her hands at her sides, looks at it, then turns to camera and says: \"Took me all morning.\" Flat daylight from the left. Natural skin texture, pores and fine lines, no retouching, no beauty filter, no glamour lighting. Muted colour, no teal-orange grade. No other logos, brand names, printed words or badges anywhere in frame. Sound: her voice close and clear, a distant street hum, one passing bicycle bell. No music.",
    resolution="768p",
    duration=8,
    aspect_ratio="auto",
    prompt_enhancement="quality",
)
print(result.get("output"))