segmindapi 0.2.1

Package for Using Segmind APIs in Python

Segmind API Wrapper

Wrapper for Segmind API for using Generative models. Visit Website

Installation

Simply Install the pip package by typing the following in the terminal:

pip install segmind

Usage

• Import Required Model Class
         from segmindapi import Kadinsky
• Instantite Model Class with your API Key
         model = Kadinsky(api_key)
• Generate Image
         img = model.generate(prompt)
• View Image
         img.show()

Models Supported

Check Available Models

ControlNet

Image to Image using Stable Diffusion 1.5.
Available Options:

• Canny
• Depth
• OpenPose
• Scribble
• SoftEdge

from segmindapi import ControlNet
model = ControlNet(api_key)
img = model.generate(prompt, imageUrl, option)

For additional options, check Docstring of the model.

SD2_1

Text-to-image Stable diffusion 2.1 model that can generate images given a natural language prompt.
from segmindapi import SD2_1
model = SD2_1(api_key)
img = model.generate(prompt)

For additional options, check Docstring of the model.

Kadinsky

Image-to-image Kadinsky model that can generate images given a natural language prompt.
from segmindapi import Kadinsky
model = Kadinsky(api_key)
img = model.generate(prompt)

For additional options, check Docstring of the model.

SD1_5 Img2Img

A text-to-image diffusion model that can create photorealistic images from any given text input, and additionally has the ability to fill in missing parts of an image by using a mask.
from segmindapi import SD1_5

For additional options, check Docstring of the model.

ERSGAN

An image-to-image model that upscales low-resolution images into high-resolution ones using a GAN trained on a dataset of high-resolution images.
from segmindapi import ERSGAN

For additional options, check Docstring of the model.

BackgroundRemoval

The background removal model efficiently separates the main subject or the object from its surrounding background, resulting in a clean and isolated foreground.
from segmindapi import BackgroundRemoval

For additional options, check Docstring of the model.

Codeformer

CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
from segmindapi import Codeformer

For additional options, check Docstring of the model.

SAM

Segment Anything Model (SAM) is a state-of-the-art image segmentation model that can segment any object in an image.
from segmindapi import SAM
model = SAM(api_key)
img = model.generate(imageUrl)

For additional options, check Docstring of the model.

FaceSwap

FaceSwap is a state-of-the-art face swapping model that can swap faces in images and videos.
from segmindapi import FaceSwap
model = FaceSwap(api_key)
img = model.generate(imageUrl, maskUrl)

For additional options, check Docstring of the model.

Examples

Model	Code Example	Generated Image
Kadinsky	Kadinsky(api_key).generate("tiny isometric city on a tiny floating island, highly detailed, 3d render")
Stable Diffusion v2.1	SD2_1(api_key).generate("calico cat wearing a cosmonaut suit, 3d render, pixar style, 8k, high resolution")

Dependencies

• PIL (Python Imaging Library)