Segmind

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Segmind APIs.

With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.

Provider Slug. segmind

Portkey SDK Integration with Segmind

Portkey provides a consistent API to interact with image generation models from various providers. To integrate Segmind with Portkey:

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with the Segmind API through Portkey’s gateway.

NodeJS SDK

npm install --save portkey-ai

Python SDK

pip install portkey-ai

2. Initialize Portkey with the Virtual Key

To use Segmind with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

NodeJS SDK

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your Segmind Virtual Key
})

Python SDK

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for Segmind
)

3. Invoke Image Generation with Segmind

Use the Portkey instance to send requests to Stability AI. You can also override the virtual key directly in the API call if needed.

NodeJS SDK

const image = await portkey.images.generate({
  model:"sdxl1.0-txt2img",
  prompt:"Lucy in the sky with diamonds",
  size:"1024x1024"
})

Python SDK

image = portkey.images.generate(
  model="sdxl1.0-txt2img",
  prompt="Lucy in the sky with diamonds",
  size="1024x1024"
)

Notice how we’re using the OpenAI’s image generation signature to prompt Segmind’s hosted serverless endpoints allowing greater flexibility to change models and providers later if necessary.

Supported Models

The following models are supported, newer models added to Segmind should also be automatically supported.

Model String	Model Name	Extra Keys (if any)
sdxl1.0-txt2img	SDXL
sd1.5-526mix	526 Mix
sd1.5-allinonepixel	All In One Pixel
sd1.5-disneyB	Cartoon
sd1.5-colorful	Colorful
sd1.5-cuterichstyle	Cute Rich Style
sd1.5-cyberrealistic	Cyber Realistic
sd1.5-deepspacediffusion	Deep Spaced Diffusion
sd1.5-dreamshaper	Dream Shaper
sd1.5-dvarch	Dv Arch
sd1.5-edgeofrealism	Edge of Realism
sd1.5-epicrealism	Epic Realism
sd1.5-fantassifiedicons	Fantassified Icons
sd1.5-flat2d	Flat 2D
sd1.5-fruitfusion	Fruit Fusion
sd1.5-icbinp	Icbinp
sd1.5-juggernaut	Juggernaut
kandinsky2.2-txt2img	Kandinsky
sd1.5-majicmix	Majicmix
sd1.5-manmarumix	Manmarumix
sd1.5-paragon	Paragon
potraitsd1.5-txt2img	Potrait SD
qrsd1.5-txt2img	QR Generator	control_scale, control_scale, control_scale, qr_text, invert, size
sd1.5-rcnz	RCNZ
sd1.5-rpg	RPG
sd1.5-realisticvision	Realistic Vision
sd1.5-reliberate	Reliberate
sd1.5-revanimated	Revanimated
sd1.5-samaritan-3d	Samaritan
sd1.5-scifi	SciFi
smallsd1.5-txt2img	Small SD
tinysd1.5-txt2img	Tiny SD

Next Steps

The complete list of features supported in the SDK are available on the link below.

SDK

You’ll find more information in the relevant sections:

1. Add metadata to your requests
2. Add gateway configs to your Segmind requests
3. Tracing Segmind’s requests
4. Setup a fallback from OpenAI to Segmind
5. Image generation API Reference