---
title: "Kandinsky5lite T2i in ComfyUI"
description: "Kandinsky5lite T2i is a diffusion model that generates images or video from text and image prompts."
canonical: https://comfy.org/p/supported-models/kandinsky5lite-t2i
lang: en
index: https://comfy.org/llms.txt
---

# Kandinsky5lite T2i in ComfyUI

Kandinsky5lite T2i is a diffusion model that generates images or video from text and image prompts. You can run it locally in ComfyUI with full control over every parameter, or access it through Comfy Cloud. ComfyUI's node-based workflow editor lets you connect Kandinsky5lite T2i with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There is 1 community workflow template using Kandinsky5lite T2i on Comfy Workflows, ready to load and customize.

## Facts

- Type: Diffusion model
- Pricing: free to run locally on your own hardware; on Comfy Cloud it meters as GPU time at the published Cloud GPU rate: https://docs.comfy.org/tutorials/partner-nodes/pricing#cloud-gpu
- Community workflow templates: 1
- Weights: https://huggingface.co/kandinskylab/Kandinsky-5.0-T2I-Lite/resolve/main/model/kandinsky5lite_t2i.safetensors

## How to run Kandinsky5lite T2i

1. Locally in ComfyUI — open source, free on your own hardware: https://comfy.org/download
2. On Comfy Cloud — hosted GPUs, every parameter still exposed: https://cloud.comfy.org
3. Start from a community workflow template and adjust it node by node: https://www.comfy.org/workflows
4. From your own application with the Comfy SDKs (Python and TypeScript, beta): https://docs.comfy.org/development/api-development/sdks.md
5. From a terminal or a coding agent with Comfy CLI, which runs workflows on Comfy Cloud or a local ComfyUI: https://docs.comfy.org/agent-tools/cli.md
6. From Claude Code, Cursor, or Codex over Comfy MCP at https://cloud.comfy.org/mcp: https://docs.comfy.org/agent-tools/mcp.md

This page as HTML: https://comfy.org/p/supported-models/kandinsky5lite-t2i
Full model catalog: https://comfy.org/p/supported-models/llms.txt