Package for Using Segmind APIs in Python
Project description
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") |
|
| Stable Diffusion img2img | SD1_5(api_key).generate(prompt = "A fantasy landscape, trending on artstation, mystical sky", imageUrl= "https://segmind.com/sd-img2img-input.jpeg") |
|
| Stable Diffusion Inpainting | SD1_5(api_key).generate(prompt = "mecha robot sitting on a bench", imageUrl= "https://segmind.com/inpainting-input-image.jpeg", maskUrl= "https://segmind.com/inpainting-input-mask.jpeg") |
|
| ControlNet Openpose | ControlNet(api_key).generate(prompt = "a beautiful fashion model, wearing a red polka dress, red door background. hyperrealistic. photorealism, 4k, extremely detailed", imageUrl = "https://segmind.com/fashion2.jpeg", option="OpenPose") |
|
| ControlNet Scribble | ControlNet(api_key).generate(prompt = "steampunk underwater helmet, dark ocean background", imageUrl = "https://segmind.com/scribble-input.jpeg", option="Scribble") |
|
| ControlNet Soft Edge | ControlNet(api_key).generate(prompt = "royal chamber with fancy bed", imageUrl = "https://segmind.com/soft-edge-input.jpeg", option="SoftEdge") |
|
| ControlNet Depth | ControlNet(api_key).generate(prompt = "young african american man, black suit, smiling, white background", imageUrl = "https://segmind.com/depth.jpeg", option="Depth") |
|
| ControlNet Canny | ControlNet(api_key).generate(prompt = "a colorful bird, 4k", imageUrl = "https://segmind.com/canny-input.jpeg", option="Canny") |
|
| Background Removal | BackgroundRemoval(api_key).generate(imageUrl = "https://segmind.com/bg-removal.jpg") |
|
| Face Swapper | FaceSwap(api_key).generate(imageUrl = "https://segmind.com/elon.jpg", maskUrl = "https://segmind.com/burn.gif") |
|
| Codeformer | Codeformer(api_key).generate(imageUrl = "https://segmind.com/codeformer_input.png") |
|
| ESRGAN | ESRGAN(api_key).generate(imageUrl = "https://segmind.com/butterfly.png") |
|
| SAM | SAM(api_key).generate(imageUrl = "https://segmind.com/kitchen.jpg") |
Dependencies
- PIL (Python Imaging Library)
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