API
If you're looking for an API, you can choose from your desired programming language.
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import requests
import base64
# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
with open(image_path, 'rb') as f:
image_data = f.read()
return base64.b64encode(image_data).decode('utf-8')
# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
response = requests.get(image_url)
image_data = response.content
return base64.b64encode(image_data).decode('utf-8')
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/luma-ray-img-2-video"
# Request payload
data = {
"prompt": "A couple locks eyes, gradually moving closer. Their expressions soften with affection. They lean in, sharing a gentle kiss, capturing a moment of genuine connection.",
"start_frame": "https://segmind-resources.s3.amazonaws.com/input/0bf45723-c1e2-4349-adcd-9dd48509622a-i2v_01_first_frame.jpg",
"loop": False,
"resolution": "720p",
"aspect_ratio": "1:1"
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Prompt to render
The frame 0 of the generation
Whether to loop the video
An enumeration.
Allowed values:
An enumeration.
Allowed values:
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Luma Ray2 Image-to-Video
Luma Ray2 Image-to-Video is a large-scale video generative model that produces realistic visuals with natural, coherent motion using image inputs. Ray2 is trained on Luma’s new multi-modal architecture and scaled to 10x compute of Ray1. Ray2 is capable of producing fast coherent motion, ultra-realistic details, and logical event sequences. This increases the success rate of usable generations and makes videos generated by Ray2 substantially more production-ready.
Key Features of Luma Ray2 Image-to-Video
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Realistic Visuals: Creates videos with high-quality, believable imagery.
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Coherent Motion: Generates natural and consistent movement within the video.
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Advanced Capabilities: Exhibits advanced capabilities as a result of being trained on Luma’s new multi-modal architecture scaled to 10x compute of Ray1.
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Production-Ready: Produces videos suitable for professional use due to increased success rates.
Functionality of Luma Ray2 Image-to-Video
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Text Instruction Understanding: Accurately interprets text instructions to generate relevant video content.
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Fast Coherent Motion: Produces videos with fast and coherent motion.
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Ultra-Realistic Details: Generates videos with ultra-realistic details.
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Logical Event Sequences: Creates videos with logical event sequences
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