I

IF I L V1.0

Developed by DeepFloyd
DeepFloyd-IF is a pixel-based three-stage cascaded diffusion model that achieves unprecedented levels of photorealism and language understanding. Its efficiency surpasses current state-of-the-art models, achieving a zero-shot FID-30K score of 6.66 on the COCO dataset.
Downloads 4,299
Release Time : 3/21/2023

Model Overview

A pixel-based text-to-image cascaded diffusion model that uses a frozen text encoder (T5) to extract text embeddings and generates images from 64px→256px→1024px via an enhanced UNet architecture.

Model Features

Efficient Cascaded Structure
Utilizes a three-stage cascaded diffusion model to progressively generate high-resolution images from 64px→256px→1024px.
Deep Language Understanding
Incorporates a frozen T5 text encoder for precise text-image semantic alignment.
Outstanding Performance
Achieves an FID-30K score of 6.66 in zero-shot evaluation on the COCO dataset, surpassing current state-of-the-art models.

Model Capabilities

Text-to-Image Generation
High-Resolution Image Synthesis
Multilingual Prompt Understanding

Use Cases

Artistic Creation
Concept Art Generation
Automatically generates concept art sketches based on textual descriptions.
Can generate images at different resolutions from 64px to 1024px.
Educational Research
Generative Model Safety Research
Used to study potential risks and ethical issues in text-to-image models.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase