Ideogram AI 描画サポート

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

# リクエストデータを準備 - JSONではなく辞書を使用
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 は multipart/form-data
files = {}
for key, value in data.items():
    files[key] = (None, str(value))  # 各データフィールドをフォームフィールドとして送信

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # あなたのAiHubMixで生成したキーに置き換えてください
  },
  files=files
)
print(response.json())

# 出力画像をファイルに保存
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")

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", # 複数枚の画像の場合、シードは使用しないでください
  "aspect_ratio": "2x1", 
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, watermark",
}

# filesパラメータを初期化
files = None

# スタイル参照画像のパス
style_reference_path = "yourpath/reference-image.jpeg"
use_reference_image = True

if use_reference_image and os.path.exists(style_reference_path):
    # 参考画像を使用し、ファイルが存在する場合、filesパラメータを設定
    files = [
        ("style_reference_images", open(style_reference_path, "rb")),
        # 複数のスタイル参照画像を追加する必要がある場合は、以下のように追加できます。
        # ("style_reference_images", open("2番目の参考画像のパス", "rb")),
    ]
elif use_reference_image:
    print(f"警告：スタイル参照画像が見つかりません：{style_reference_path}")

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # あなたのAiHubMixで生成したキーに置き換えてください
  },
  data=data,
  files=files
)
print(response.json())

# 出力画像をファイルに保存
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")
    print(f"エラー詳細：{response_json}")

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",
}

# 元画像 - 必須
source_image_path = "yourpath/image.jpeg"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"ソース画像が見つかりません：{source_image_path}")

# filesパラメータを初期化
files = None

# スタイル参照画像のパス
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# ファイルアップロードの準備
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # 参考画像を使用し、ファイルが存在する場合、filesパラメータを設定
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"警告：スタイル参照画像が見つかりません：{style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/remix",
      headers={
        "Api-Key": "sk-***" # あなたのAiHubMixで生成したキーに置き換えてください
      },
      data=data,
      files=files
    )
print(response.json())

# 出力画像をファイルに保存
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")
    print(f"エラー詳細：{response_json}")

import requests
import os

# 元画像 - 必須
source_image_path = "yourpath/image.jpeg"
# マスク - 必須
mask_image_path = "yourpath/mask.jpg"

if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"ソース画像が見つかりません：{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-***" # あなたのAiHubMixで生成したキーに置き換えてください
        },
        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())

# 出力画像をファイルに保存
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")
    print(f"エラー詳細：{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,
  # "aspect_ratio"なし
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  # "negative_prompt"なし
}

# 元画像 - 必須
source_image_path = "yourpath/image.png"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"ソース画像が見つかりません：{source_image_path}")

# filesパラメータを初期化
files = None

# スタイル参照画像のパス
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# ファイルアップロードの準備
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # 参考画像を使用し、ファイルが存在する場合、filesパラメータを設定
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"警告：スタイル参照画像が見つかりません：{style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/replace-background",
      headers={
        "Api-Key": "sk-***" # あなたのAiHubMixで生成したキーに置き換えてください
      },
      data=data,
      files=files
    )
print(response.json())

# 出力画像をファイルに保存
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")
    print(f"エラー詳細：{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 オプション
        "negative_prompt": "blurry, bad anatomy, watermark",
        "aspect_ratio": "ASPECT_3_2",  # オプション ASPECT_1_1(デフォルト), ASPECT_3_2, ASPECT_2_3, ASPECT_4_3, ASPECT_3_4, ASPECT_16_9, ASPECT_9_16, SPECT_16_10, ASPECT_10_16 を含む
        "model": "V_2",
        "num_images": 2, #integer オプション >=1 <=8 デフォルトは1
        "magic_prompt_option": "AUTO", # string オプション AUTO, ON, OFF
        #"seed": "2" #integer オプション >=0 <=2147483647
        "style_type": "RENDER_3D" # string オプション AUTO/GENERAL/REALISTIC/DESIGN/RENDER_3D/ANIME, V_2以降のバージョンにのみ適用
    } }
headers = {
    "Api-Key": os.getenv("AIHUBMIX_API_KEY"),
    "Content-Type": "application/json"
}

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

print(response.json())

# ファイルに画像を出力
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']  # 正しく画像URLを取得
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("画像はoutput.pngに保存されました")
    else:
        print(f"画像の取得に失敗しました：{image_response.status_code}")
else:
    print("APIリクエストが失敗したか、返されたデータに画像がありません")

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'), # 必須
    "mask": "open('<file1>', 'rb')" # 必須
}

payload = {
    "prompt": "\"prompt\"", # 必須
    "model": "V_2",  # 必須、only supported for V_2 and V_2_TURBO.
    "magic_prompt_option": ,
    "num_images":1, # integer オプション >=1 <=8 Defaults to 1
    "seed": , # integer オプション >=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())

# ファイルを閉じる
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())

# ファイルを閉じる
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>