API
If you're looking for an API, you can choose from your desired programming language.
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import requests
import base64
# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
with open(image_path, 'rb') as f:
image_data = f.read()
return base64.b64encode(image_data).decode('utf-8')
# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
response = requests.get(image_url)
image_data = response.content
return base64.b64encode(image_data).decode('utf-8')
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/ideogram-2a-img-2-img"
# Request payload
data = {
"prompt": "A vibrant humanoid sprat adorned in metallic silver attire stands amidst a dazzling New Year's Eve celebration, with shimmering confetti and colorful fireworks illuminating the night sky. Its large, expressive eyes reflect the excitement around, as festive lights and joyful partygoers create an enchanting atmosphere filled with hope and new beginnings",
"image_file": image_url_to_base64("https://segmind-resources.s3.amazonaws.com/input/914b8081-a14c-4b20-848b-7214088146a0-2a-i2i-ip.png"), # Or use image_file_to_base64("IMAGE_PATH")
"magic_prompt_option": "AUTO",
"seed": 695512,
"style_type": "GENERAL",
"resolution": "RESOLUTION_1024_1024",
"image_weight": 50
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated image
Attributes
Prompt to render
Image File
Option for magic prompt
Allowed values:
Seed for random generation
Style type for the output
Allowed values:
Negative prompt to avoid specific elements
Resolution of the output image
Allowed values:
Image Weight (range 1-100)
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Ideogram 2a Image-to-Image
Ideogram 2a Image-to-Image can turn your existing images into stunning new visuals, with a focus on captivating designs, realistic transformations, and innovative styles.
Key Features
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Image Manipulation: Easily modify aspects of your images, including color, composition, and style.
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Versatile Image Creation: Generate entirely new images based on an input image and desired style.
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Style Transfer: Apply the artistic style of one image to another, creating unique and visually striking results. Ideogram offers a diverse range of artistic styles, from realistic to abstract.
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Aspect Ratios & Resolutions: Offers a variety of aspect ratios and resolutions to suit different creative needs.
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Reuse selected images and their associated prompts in new creations.
Use Cases
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Logo and Branding Design: Generate unique and memorable logos with integrated text for businesses and personal brands.
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Marketing and Advertising: Create eye-catching visuals with compelling text for social media campaigns, website banners, and print ads.
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Content Creation: Produce illustrative images and diagrams with clear text labels for blog posts, articles, and educational materials.
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Personalized Gifts and Merchandise: Design custom images with text for t-shirts, mugs, posters, and other products.
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Social Media Content Creation: Quickly generate variations of existing images for different social media platforms.
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E-commerce Product Photography: Create multiple versions of product images with different backgrounds or styles.
Other Popular Models
sdxl-img2img
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers

fooocus
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.

codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.

sd2.1-faceswapper
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
