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curl -X POST https://api.lumma.ai/v1/text-to-image \
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-H "Content-Type: application/json" \
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-d '{
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  "Ai_engine": "Flux_11_pro",
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  "Image_style": "Cinematic",
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  "Aspect Ratio": "16_9",
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  "Quality": "Perfect",
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  "Hijab": "Yes",
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  "Prompt": "A futuristic city with flying cars and neon lights"
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}'

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import requests
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url = "https://api.lumma.ai/v1/text-to-image"
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headers = {
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    "Content-Type": "application/json"
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}
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data = {
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    "Ai_engine": "Flux_11_pro",
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    "Image_style": "Cinematic",
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    "Aspect Ratio": "16_9",
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    "Quality": "Perfect",
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    "Hijab": "Yes",
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    "Prompt": "A futuristic city with flying cars and neon lights"
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}
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response = requests.post(url, json=data, headers=headers)
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if response.status_code == 200:
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    print("Image URL:", response.json()["Output_image"])
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else:
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    print("Error:", response.status_code, response.text)

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const url = 'https://api.lumma.ai/v1/text-to-image';
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const headers = {
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  'Content-Type': 'application/json'
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};
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const data = {
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  "Ai_engine": "Flux_11_pro",
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  "Image_style": "Cinematic",
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  "Aspect Ratio": "16_9",
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  "Quality": "Perfect",
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  "Hijab": "Yes",
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  "Prompt": "A futuristic city with flying cars and neon lights"
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};
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fetch(url, {
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  method: 'POST',
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  headers: headers,
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  body: JSON.stringify(data)
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})
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.then(response => response.json())
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.then(data => {
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  console.log("Image URL:", data.Output_image);
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})
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.catch(error => {
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  console.error("Error:", error);
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});

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curl -X POST https://api.lumma.ai/v1/text-to-image \
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-H "Content-Type: application/json" \
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-d '{ "Input_image": "https://example.com/image_to_remove_background.jpg" }'

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import requests
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url = "https://api.lumma.ai/v1/remove-background"
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headers = {
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    "Content-Type": "application/json"
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}
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data = {
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    "Input_image": "https://example.com/image_to_remove_background.jpg"
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}
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response = requests.post(url, json=data, headers=headers)
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if response.status_code == 200:
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    print("Image without background:", response.json()["Output_image"])
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else:
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    print("Error:", response.status_code, response.text)

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const url = 'https://api.lumma.ai/v1/remove-background';
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const headers = {
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  'Content-Type': 'application/json'
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};
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const data = {
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  "Input_image": "https://example.com/image_to_remove_background.jpg"
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};
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fetch(url, {
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  method: 'POST',
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  headers: headers,
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  body: JSON.stringify(data)
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})
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.then(response => response.json())
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.then(data => {
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  console.log("Image without background:", data.Output_image);
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})
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.catch(error => {
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  console.error("Error:", error);
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});

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curl -X POST https://api.lumma.ai/v1/text-to-image \
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-H "Content-Type: application/json" \
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-d '{ "Input_image": "https://example.com/reference_image.jpg", "Similarity": "Changed", "Hijab": "No" }'

1
import requests
2

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url = "https://api.lumma.ai/v1/similar-image"
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headers = {
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    "Content-Type": "application/json"
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}
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data = {
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    "Input_image": "https://example.com/reference_image.jpg",
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    "Similarity": "Changed",
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    "Hijab": "No"
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}
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response = requests.post(url, json=data, headers=headers)
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if response.status_code == 200:
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    print("Similar Image URL:", response.json()["Output_image"])
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else:
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    print("Error:", response.status_code, response.text)

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const url = 'https://api.lumma.ai/v1/similar-image';
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const headers = {
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  'Content-Type': 'application/json'
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};
5

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const data = {
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  "Input_image": "https://example.com/reference_image.jpg",
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  "Similarity": "Changed",
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  "Hijab": "No"
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};
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fetch(url, {
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  method: 'POST',
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  headers: headers,
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  body: JSON.stringify(data)

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curl -X POST "https://your-api-endpoint.com/apply-clothing" \
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     -H "Content-Type: application/json" \
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     -d '{
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        "input_garment": "https://example.com/images/garment.jpg",
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        "input_garment_type": "upper_body",
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        "input_garment_quality": 50,
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        "input_garment_gender": "women"
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     }'

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import requests
2

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url = "https://your-api-endpoint.com/apply-clothing"
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payload = {
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    "input_garment": "https://example.com/images/garment.jpg",
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    "input_garment_type": "upper_body",
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    "input_garment_quality": 50,
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    "input_garment_gender": "women"
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}
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headers = {"Content-Type": "application/json"}
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response = requests.post(url, json=payload, headers=headers)
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print(response.json())

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const url = "https://your-api-endpoint.com/apply-clothing";
2

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const payload = {
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    input_garment: "https://example.com/images/garment.jpg",
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    input_garment_type: "upper_body",
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    input_garment_quality: 50,
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    input_garment_gender: "women"
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};
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fetch(url, {
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    method: "POST",
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    headers: { "Content-Type": "application/json" },
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    body: JSON.stringify(payload)
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})
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.then(response => response.json())
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.then(data => console.log(data))
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.catch(error => console.error("Error:", error));