Génération d'images avec Ideogram AI

curl -X POST https://aihubmix.com/ideogram/v1/ideogram-v3/generate \
  -H "Api-Key: sk-***" \
  -H "Content-Type: multipart/form-data" \
  -F prompt="Delicate 3D cover design with various combat machines flying from an portal. The machines have different shapes, sizes, and colors. The portal is emitting swirling energy. The background contains a futuristic city with tall buildings. The text \"One Gateway, Infinite Models\" is placed in the center with neon lights, expansive view, cinematic lighting, vivid color, bright tone. clean text, cyber punk, smooth render" \
  -F rendering_speed="QUALITY" \
  -F num_images="2" \
  -F aspect_ratio="2x1"

import requests
import os

# Prepare request data - use dictionary instead of JSON
data = {
  "prompt": "Delicate 3D cover design with various combat machines flying from an portal. The machines have different shapes, sizes, and colors. The portal is emitting swirling energy. The background contains a futuristic city with tall buildings. The text \"One Gateway, Infinite Models\" is placed in the center with neon lights, expansive view, cinematic lighting, vivid color, bright tone. clean text, cyber punk, smooth render",
  "rendering_speed": "QUALITY",
  "num_images": "2",
  "aspect_ratio": "2x1",
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, watermark"
}

# Content-Type is multipart/form-data
files = {}
for key, value in data.items():
    files[key] = (None, str(value))  # Send each data field as a form field

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # Replace with your AiHubMix API key
  },
  files=files
)
print(response.json())

# save output image to file
response_json = response.json()
if response.ok and 'data' in response_json and len(response_json['data']) > 0:
    image_data = response_json['data'][0]['url']
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("Image saved to output.png")
    else:
        print(f"Failed to get image: {image_response.status_code}")
else:
    print("API request failed or no image returned")

import requests
import os

data = {
  "prompt": "Delicate 3D cover design with various combat machines flying from an portal. The machines have different shapes, sizes, and colors. The portal is emitting swirling energy. The background contains a futuristic city with tall buildings. The text \"One Gateway, Infinite Models\" is placed in the center with neon lights, expansive view, cinematic lighting, vivid color, bright tone. clean text, cyber punk, smooth render",
  "rendering_speed": "QUALITY",
  "num_images": 2,
  # "seed": "998", # DO NOT use seed when generating multiple images
  "aspect_ratio": "2x1", 
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, watermark",
}

# initialize files parameter
files = None

# Style reference image path
style_reference_path = "yourpath/reference-image.jpeg"
use_reference_image = True

if use_reference_image and os.path.exists(style_reference_path):
    # If using a reference image and the file exists, set the files parameter
    files = [
        ("style_reference_images", open(style_reference_path, "rb")),
        # If you need to add multiple style reference images, you can add them as follows:
        # ("style_reference_images", open("Second reference image path", "rb")),
    ]
elif use_reference_image:
    print(f"Warning: Style reference image not found: {style_reference_path}")

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # Replace with your AiHubMix API key
  },
  data=data,
  files=files
)
print(response.json())

# save output image to file
response_json = response.json()
if response.ok and 'data' in response_json and len(response_json['data']) > 0:
    image_data = response_json['data'][0]['url']
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("Image saved to output.png")
    else:
        print(f"Failed to get image: {image_response.status_code}")
else:
    print("API request failed or no image returned")

import requests
import os

data = {
  "prompt": "bird playing with a cat in the snow, pixel art style",
  "image_weight": "60",
  "rendering_speed": "QUALITY",
  "num_images": 1,
  "seed": 1,
  "aspect_ratio": "16x9", 
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, bad anatomy, watermark",
}

# Original image - required
source_image_path = "yourpath/image.jpeg"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"Original image not found: {source_image_path}")

# initialize files parameter
files = None

# Style reference image path
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# Prepare the files for upload
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # If using a reference image and the file exists, set the files parameter
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"Warning: Style reference image not found: {style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/remix",
      headers={
        "Api-Key": "sk-***" # Replace with your AiHubMix API key
      },
      data=data,
      files=files
    )
print(response.json())

# save output image to file
response_json = response.json()
if response.ok and 'data' in response_json and len(response_json['data']) > 0:
    image_data = response_json['data'][0]['url']
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("Image saved to output.png")
    else:
        print(f"Failed to get image: {image_response.status_code}")
else:
    print("API request failed or no image returned")
    print(f"Error details: {response_json}")

import requests
import os

# Original image - required
source_image_path = "yourpath/image.jpeg"
# mask - required
mask_image_path = "yourpath/mask.jpg"

if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"Original image not found: {source_image_path}")

with open(source_image_path, "rb") as image_file, open(mask_image_path, "rb") as mask_file:
    response = requests.post(
        "https://aihubmix.com/ideogram/v1/ideogram-v3/edit",
        headers={
            "Api-Key": "sk-***" # Replace with your AiHubMix API key
        },
        data={
            "prompt": "remove text",
            "rendering_speed": "DEFAULT",
            "num_images": 1,
            "seed": 1,
            "aspect_ratio": "16x9",
            "magic_prompt": "AUTO",
            "style_type": "AUTO",
            "negative_prompt": "blurry, bad anatomy, watermark",
        },
        files={
            "image": image_file,
            "mask": mask_file,
        }
    )

print(response.json())

# save output image to file
response_json = response.json()
if response.ok and 'data' in response_json and len(response_json['data']) > 0:
    image_data = response_json['data'][0]['url']
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("Image saved to output.png")
    else:
        print(f"Failed to get image: {image_response.status_code}")
else:
    print("API request failed or no image returned")
    print(f"Error details: {response_json}")

import requests
import os

data = {
  "prompt": "bird playing with a cat in the snow, pixel art style",
  "rendering_speed": "QUALITY",
  "num_images": 1,
  "seed": 1,
  # no "aspect_ratio"
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  # no "negative_prompt"
}

# Original image - required
source_image_path = "yourpath/image.png"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"Original image not found: {source_image_path}")

# initialize files parameter
files = None

# Style reference image path
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# Prepare files
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # If using a reference image and the file exists, set the files parameter
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"Warning: Style reference image not found: {style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/replace-background",
      headers={
        "Api-Key": "sk-***" # Replace with your AiHubMix API key
      },
      data=data,
      files=files
    )
print(response.json())

# save output image to file
response_json = response.json()
if response.ok and 'data' in response_json and len(response_json['data']) > 0:
    image_data = response_json['data'][0]['url']
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("Image saved to output.png")
    else:
        print(f"Failed to get image: {image_response.status_code}")
else:
    print("API request failed or no image returned")
    print(f"Error details: {response_json}")

import requests
import os

url = "https://aihubmix.com/ideogram/generate"

payload = { "image_request": {
        "prompt": "3D cartoon, An adorable white owl baby with tilted head, shiny amber eyes with highlight, fluffy body, standing on a trunk with moss and lots of glowing mushrooms, Close up, cinematic lighting, low angle, deep sense of depth. The background is a magical spring landscape, cute and esthetic, huge title design \"Always curious\"", #string optional
        "negative_prompt": "blurry, bad anatomy, watermark",
        "aspect_ratio": "ASPECT_3_2",  # optional include ASPECT_1_1(Default), ASPECT_3_2, ASPECT_2_3, ASPECT_4_3, ASPECT_3_4, ASPECT_16_9, ASPECT_9_16, SPECT_16_10, ASPECT_10_16
        "model": "V_2",
        "num_images": 2, #integer optional >=1 <=8 Defaults to 1
        "magic_prompt_option": "AUTO", #string optional AUTO, ON, OFF
        #"seed": "2" #integer optional >=0 <=2147483647
        "style_type": "RENDER_3D" #string optional AUTO/GENERAL/REALISTIC/DESIGN/RENDER_3D/ANIME, only applicable to V_2 and above
    } }
headers = {
    "Api-Key": os.getenv("AIHUBMIX_API_KEY"),
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = 'https://aihubmix.com/ideogram/describe';
const form = new FormData();
form.append('image_file', '<file1>');

const options = {method: 'POST', headers: {'Api-Key': '<apiKey>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl -X POST https://aihubmix.com/ideogram/generate \
     -H "Api-Key: <apiKey>" \
     -H "Content-Type: application/json" \
     -d '{
  "image_request": {
    "prompt": "A serene tropical beach scene. Dominating the foreground are tall palm trees with lush green leaves, standing tall against a backdrop of a sandy beach. The beach leads to the azure waters of the sea, which gently kisses the shoreline. In the distance, there is an island or landmass with a silhouette of what appears to be a lighthouse or tower. The sky above is painted with fluffy white clouds, some of which are tinged with hues of pink and orange, suggesting either a sunrise or sunset.",
    "aspect_ratio": "ASPECT_10_16",
    "model": "V_2",
    "magic_prompt_option": "AUTO"
  }
}'

import requests
import os

url = "https://aihubmix.com/ideogram/eidt"

files = {
    "image_file": open('<file1>', 'rb'), #required
    "mask": "open('<file1>', 'rb')" #required
}

payload = {
    "prompt": "\"prompt\"", #required
    "model": "V_2",  #required, only supported for V_2 and V_2_TURBO.
    "magic_prompt_option": ,
    "num_images":1, #integer optional >=1 <=8 Defaults to 1
    "seed": , #integer optional >=0 <=2147483647
    "style_type":
16}
headers = {"Api-Key": os.getenv("AIHUBMIX_API_KEY")}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.json()

# close file
files["image_file"].close()
files["mask"].close()

const url = 'https://aihubmix.com/ideogram/edit';
const form = new FormData();
form.append('image_file', '<file1>');
form.append('mask', '<file1>');
form.append('prompt', '"prompt"');
form.append('model', '"V_1"');
form.append('magic_prompt_option', '');
form.append('num_images', '');
form.append('seed', '');
form.append('style_type', '');

const options = {method: 'POST', headers: {'Api-Key': '<apiKey>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl -X POST https://aihubmix.com/ideogram/edit \
     -H "Api-Key: <apiKey>" \
     -H "Content-Type: multipart/form-data" \
     -F image_file=@<file1> \
     -F mask=@<file1> \
     -F prompt="prompt" \
     -F model="V_1"

import requests
import os

url = "https://aihubmix.com/ideogram/remix"

files = { "image_file": open('<file1>', 'rb') }
payload = {"image_request": '''{
    "prompt": "watercolor",
    "aspect_ratio": "ASPECT_10_16",
    "image_weight": 50,
    "magic_prompt_option": "ON",
    "model": "V_2"
}'''}

headers = {"Api-Key": os.getenv("AIHUBMIX_API_KEY")}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.json())

const url = 'https://aihubmix.com/ideogram/remix';
const form = new FormData();
form.append('image_request', '{
  "prompt": "A serene tropical beach scene. Dominating the foreground are tall palm trees with lush green leaves, standing tall against a backdrop of a sandy beach. The beach leads to the azure waters of the sea, which gently kisses the shoreline. In the distance, there is an island or landmass with a silhouette of what appears to be a lighthouse or tower. The sky above is painted with fluffy white clouds, some of which are tinged with hues of pink and orange, suggesting either a sunrise or sunset.",
  "aspect_ratio": "ASPECT_10_16",
  "image_weight": 50,
  "magic_prompt_option": "ON",
  "model": "V_2"
}');
form.append('image_file', '<file1>');

const options = {method: 'POST', headers: {'Api-Key': '<apiKey>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl -X POST https://aihubmix.com/ideogram/remix \
     -H "Api-Key: <apiKey>" \
     -H "Content-Type: multipart/form-data" \
     -F image_request='{
  "prompt": "A serene tropical beach scene. Dominating the foreground are tall palm trees with lush green leaves, standing tall against a backdrop of a sandy beach. The beach leads to the azure waters of the sea, which gently kisses the shoreline. In the distance, there is an island or landmass with a silhouette of what appears to be a lighthouse or tower. The sky above is painted with fluffy white clouds, some of which are tinged with hues of pink and orange, suggesting either a sunrise or sunset.",
  "aspect_ratio": "ASPECT_10_16",
  "image_weight": 50,
  "magic_prompt_option": "ON",
  "model": "V_2"
}' \
     -F image_file=@<file1>

import requests
import os

url = "https://aihubmix.com/ideogram/upscale"

files = { "image_file": open('<file1>', 'rb') }
payload = { "image_request": "{}" }
headers = {"Api-Key": os.getenv("AIHUBMIX_API_KEY")}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.json())

const url = 'https://aihubmix.com/ideogram/upscale';
const form = new FormData();
form.append('image_request', '{}');
form.append('image_file', '<file1>');

const options = {method: 'POST', headers: {'Api-Key': '<apiKey>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl -X POST https://aihubmix.com/ideogram/upscale \
     -H "Api-Key: <apiKey>" \
     -H "Content-Type: multipart/form-data" \
     -F image_request='{}' \
     -F image_file=@<file1>

import requests
import os

url = "https://aihubmix.com/ideogram/describe"

files = { "image_file": open('<file1>', 'rb') }
headers = {"Api-Key": os.getenv("AIHUBMIX_API_KEY")}

response = requests.post(url, files=files, headers=headers)

print(response.json())

# close file
files["image_file"].close()

const url = 'https://aihubmix.com/ideogram/describe';
const form = new FormData();
form.append('image_file', '<file1>');

const options = {method: 'POST', headers: {'Api-Key': '<apiKey>'}};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl -X POST https://aihubmix.com/ideogram/describe \
     -H "Api-Key: <apiKey>" \
     -H "Content-Type: multipart/form-data" \
     -F image_file=@<file1>