Segmind

Use Segmind’s Stable Diffusion models for fast, serverless image generation through Portkey.

Quick Start

Get started with Segmind in under 2 minutes:

Python

from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @segmind provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@segmind/sdxl1.0-txt2img",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

Add Provider in Model Catalog

Before making requests, add Segmind to your Model Catalog:

1. Go to Model Catalog → Add Provider
2. Select Segmind
3. Enter your Segmind API key
4. Name your provider (e.g., segmind)

Complete Setup Guide

See all setup options and detailed configuration instructions

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Supported Models

Segmind provides fast, serverless access to various Stable Diffusion models:

Model	Description
sdxl1.0-txt2img	Stable Diffusion XL
sd1.5-dreamshaper	Dream Shaper
sd1.5-realisticvision	Realistic Vision
sd1.5-juggernaut	Juggernaut
sd1.5-epicrealism	Epic Realism
kandinsky2.2-txt2img	Kandinsky
qrsd1.5-txt2img	QR Code Generator

And 20+ more models. Check Segmind’s documentation for the complete list.

Portkey uses the OpenAI image generation signature for Segmind, allowing you to easily switch between providers.

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Next Steps

Gateway Configs

Add fallbacks, load balancing, and more

Observability

Monitor and trace your Segmind requests

Caching

Cache generated images

Image API Reference

Complete image generation API docs

For complete SDK documentation:

SDK Reference

Complete Portkey SDK documentation