Ideogram AI Bildgenerierung

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

# Anfragedaten vorbereiten - Dictionary anstelle von JSON verwenden
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 ist multipart/form-data
files = {}
for key, value in data.items():
    files[key] = (None, str(value))  # Jedes Datenfeld als Formularfeld senden

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # Ersetzen Sie dies durch Ihren AiHubMix API-Schlüssel
  },
  files=files
)
print(response.json())

# Ausgabebild in Datei speichern
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", # Beim Generieren mehrerer Bilder KEINEN Seed verwenden
  "aspect_ratio": "2x1", 
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, watermark",
}

# files-Parameter initialisieren
files = None

# Pfad zum Stil-Referenzbild
style_reference_path = "yourpath/reference-image.jpeg"
use_reference_image = True

if use_reference_image and os.path.exists(style_reference_path):
    # Wenn ein Referenzbild verwendet wird und die Datei existiert, files-Parameter setzen
    files = [
        ("style_reference_images", open(style_reference_path, "rb")),
        # Falls Sie mehrere Stil-Referenzbilder hinzufügen müssen, können Sie dies wie folgt tun:
        # ("style_reference_images", open("Pfad zum zweiten Referenzbild", "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-***" # Ersetzen Sie dies durch Ihren AiHubMix API-Schlüssel
  },
  data=data,
  files=files
)
print(response.json())

# Ausgabebild in Datei speichern
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",
}

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

# files-Parameter initialisieren
files = None

# Pfad zum Stil-Referenzbild
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# Dateien für den Upload vorbereiten
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # Wenn ein Referenzbild verwendet wird und die Datei existiert, files-Parameter setzen
        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-***" # Ersetzen Sie dies durch Ihren AiHubMix API-Schlüssel
      },
      data=data,
      files=files
    )
print(response.json())

# Ausgabebild in Datei speichern
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

# Originalbild - erforderlich
source_image_path = "yourpath/image.jpeg"
# Maske - erforderlich
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-***" # Ersetzen Sie dies durch Ihren AiHubMix API-Schlüssel
        },
        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())

# Ausgabebild in Datei speichern
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,
  # kein "aspect_ratio"
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  # kein "negative_prompt"
}

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

# files-Parameter initialisieren
files = None

# Pfad zum Stil-Referenzbild
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# Dateien vorbereiten
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # Wenn ein Referenzbild verwendet wird und die Datei existiert, files-Parameter setzen
        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-***" # Ersetzen Sie dies durch Ihren AiHubMix API-Schlüssel
      },
      data=data,
      files=files
    )
print(response.json())

# Ausgabebild in Datei speichern
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()

# Datei schließen
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())

# Datei schließen
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>