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/background-eraser"
# Request payload
data = {
"image": image_url_to_base64("https://segmind-sd-models.s3.amazonaws.com/display_images/background-eraser-ip.png"), # Or use image_file_to_base64("IMAGE_PATH")
"return_mask": True,
"invert_mask": False,
"grow_mask": 0,
"base64": False
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
upload your input image
Check this to obtain the mask as the output.
Refers to inverting the mask.
Selectively expand image regions
min : 0,
max : 50
Base64 encoding of the output image.
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.
PixelFlow allows you to use all these features
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Segmented Creation Workflow
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customized Output
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Layering Different Models
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Workflow APIs
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
Background Eraser
Background Eraser is a cutting-edge background removal AI model which shows exceptional accuracy, efficiency, and versatility in separating foreground from background. This powerful tool is trained on a meticulously curated dataset encompassing diverse categories, which makes the background eraser model to deliver superior results across various content creation use-cases.
Here's what makes Background Eraser model the perfect background removal partner for your projects:
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Unmatched Precision: Background Eraser meticulously separates foreground objects from their backgrounds, ensuring clean and precise cutouts.
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Blazing Speed: It operates with exceptional efficiency, saving you valuable time and resources during high-volume content creation.
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Genre-Bending Versatility: The model can seamlessly to diverse image types, consistently delivering flawless results.
Other Popular Models
faceswap-v2
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
sdxl-inpaint
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
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
