Ideogram AI 繪圖支持

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

# 準備請求數據 - 使用字典而不是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 為 multipart/form-data
files = {}
for key, value in data.items():
    files[key] = (None, str(value))  # 將每個數據字段作為表單字段發送

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # 換成你在 AiHubMix 生成的密鑰
  },
  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']  # 正確獲取圖片 URL
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("圖片已保存到 output.png")
    else:
        print(f"獲取圖片失敗：{image_response.status_code}")
else:
    print("API 請求失敗或返回數據中沒有圖片")

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", # 多張圖時不要使用 seed
  "aspect_ratio": "2x1", 
  "magic_prompt": "AUTO",
  "style_type": "AUTO",
  "negative_prompt": "blurry, watermark",
}

# initialize files parameter
files = None

# 樣式參考圖路徑
style_reference_path = "yourpath/reference-image.jpeg"
use_reference_image = True

if use_reference_image and os.path.exists(style_reference_path):
    # 如果使用參考圖片且文件存在，則設置 files 參數
    files = [
        ("style_reference_images", open(style_reference_path, "rb")),
        # 如果需要添加多個樣式參考圖片，可以按如下方式添加：
        # ("style_reference_images", open("第二張參考圖片路徑", "rb")),
    ]
elif use_reference_image:
    print(f"警告：樣式參考圖片未找到：{style_reference_path}")

response = requests.post(
  "https://aihubmix.com/ideogram/v1/ideogram-v3/generate",
  headers={
    "Api-Key": "sk-***" # 換成你在 AiHubMix 生成的密鑰
  },
  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']  # 正確獲取圖片 URL
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("圖片已保存到 output.png")
    else:
        print(f"獲取圖片失敗：{image_response.status_code}")
else:
    print("API 請求失敗或返回數據中沒有圖片")

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",
}

# 原圖 - 必填
source_image_path = "yourpath/image.jpeg"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"源圖片未找到：{source_image_path}")

# initialize files parameter
files = None

# 樣式參考圖路徑
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# 準備文件上傳
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # 如果使用參考圖片且文件存在，則設置 files 參數
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"警告：樣式參考圖片未找到：{style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/remix",
      headers={
        "Api-Key": "sk-***" # 換成你在 AiHubMix 生成的密鑰
      },
      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']  # 正確獲取圖片 URL
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("圖片已保存到 output.png")
    else:
        print(f"獲取圖片失敗：{image_response.status_code}")
else:
    print("API 請求失敗或返回數據中沒有圖片")
    print(f"錯誤詳情：{response_json}")

import requests
import os

# 原圖 - 必填
source_image_path = "yourpath/image.jpeg"
# mask - 必填
mask_image_path = "yourpath/mask.jpg"

if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"源圖片未找到：{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-***" # 換成你在 AiHubMix 生成的密鑰
        },
        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']  # 正確獲取圖片 URL
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("圖片已保存到 output.png")
    else:
        print(f"獲取圖片失敗：{image_response.status_code}")
else:
    print("API 請求失敗或返回數據中沒有圖片")
    print(f"錯誤詳情：{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"
}

# 原圖 - 必填
source_image_path = "yourpath/image.png"
if not os.path.exists(source_image_path):
    raise FileNotFoundError(f"源圖片未找到：{source_image_path}")

# initialize files parameter
files = None

# 樣式參考圖路徑
style_reference_path = "yourpath/reference-image.png"
use_reference_image = True

# 準備文件上傳
with open(source_image_path, "rb") as image_file:
    if use_reference_image and os.path.exists(style_reference_path):
        # 如果使用參考圖片且文件存在，則設置 files 參數
        files = {
            "image": image_file,
            "style_reference_images": open(style_reference_path, "rb"),
        }
    else:
        if use_reference_image:
            print(f"警告：樣式參考圖片未找到：{style_reference_path}")
        files = {
            "image": image_file,
        }

    response = requests.post(
      "https://aihubmix.com/ideogram/v1/ideogram-v3/replace-background",
      headers={
        "Api-Key": "sk-***" # 換成你在 AiHubMix 生成的密鑰
      },
      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']  # 正確獲取圖片 URL
    image_response = requests.get(image_data)
    if image_response.ok:
        with open('output.png', 'wb') as f:
            f.write(image_response.content)
        print("圖片已保存到 output.png")
    else:
        print(f"獲取圖片失敗：{image_response.status_code}")
else:
    print("API 請求失敗或返回數據中沒有圖片")
    print(f"錯誤詳情：{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 可選
        "negative_prompt": "blurry, bad anatomy, watermark",
        "aspect_ratio": "ASPECT_3_2",  # 可選 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 可選 >=1 <=8 Defaults to 1
        "magic_prompt_option": "AUTO", # string 可選 AUTO, ON, OFF
        #"seed": "2" #integer 可選 >=0 <=2147483647
        "style_type": "RENDER_3D" # string 可選 AUTO/GENERAL/REALISTIC/DESIGN/RENDER_3D/ANIME, 僅適用於 V_2 及以上版本
    } }
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'), # 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 可選 >=1 <=8 Defaults to 1
    "seed": , # integer 可選 >=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>