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/imagen"
# Request payload
data = {
"prompt": " White fluffy bear toy is sleeping in a children's room, on the floor of a baby bedroom with toy boxes and toys around, in the style of photorealistic 3D rendering",
"aspect_ratio": "1:1",
"safety_filter_level": "BLOCK_LOW_AND_ABOVE",
"person_generation": "ALLOW_ADULT"
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Prompt to render
Changes the aspect ratio of the generated image..
Allowed values:
Adds a filter level to safety filtering.
Allowed values:
Allow the model to generate images of people.
Allowed values:
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.
Imagen 3
Imagen 3 is Google DeepMind's most advanced text-to-image model, designed to generate images with exceptional detail, richer lighting, and fewer distracting artifacts compared to previous models.
Key Features of Imagen 3
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Superior Image Quality: Delivers visually rich, high-quality images with excellent lighting and composition.
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Enhanced Detail: Accurately renders fine details like wrinkles and complex textures.
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Better Color Balance: Achieves improved overall color balance through several model advancements.
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Diverse Art Styles: Renders various art styles with greater accuracy, including photo realism, impressionism, abstract, and anime.
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Greater Versatility and Prompt Understanding: Understands prompts written in natural, everyday language, reducing the need for complex prompt engineering. It captures small details from longer, complex prompts.
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High-Fidelity Detail: Produces richer textures and enhanced details for more visually compelling images.
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Improved Text Rendering: Significantly enhanced text rendering capabilities for applications like stylized birthday cards and presentation
Technical Specifications
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Training Data: Trained on detailed captions for each image to capture nuances like specific camera angles or compositions in long, complex prompts.
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Benchmarks: Human evaluators prefer Imagen 3 to previous versions and other leading image generation models. It holds the highest score for visual quality and accuracy in responding to prompts.
Use cases
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Doodles to Masterpieces: Generates high-quality images in various formats and styles, from photorealistic landscapes to textured oil paintings and claymation scenes.
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Versatile Applications: Suitable for creating a wide range of visuals, including photographs, illustrations, and artistic renderings.
Other Popular Models
storydiffusion
Story Diffusion turns your written narratives into stunning image sequences.
fooocus
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
sdxl1.0-txt2img
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
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
