Model reference · open weights

IF-I-M

Image DeepFloyd Text→image 1 build Its own licence terms 1k dl/mo

IF-I-M is an open-weight image model from DeepFloyd. IF-I-M-v1.0 (FP32) weighs 10.1 GB; the smallest configuration that runs it is RTX 4090 24 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • IF-I-M is a 372M parameter text-to-image model developed by DeepFloyd that serves as the first stage of a cascaded diffusion pipeline.
  • It generates 64x64 pixel images using a frozen T5 text encoder and a UNet architecture, primarily supporting English and other Romance languages.
  • The model is released under the deepfloyd-if-license for research purposes.

Summary of the DeepFloyd/IF-I-M-v1.0 model card, 2026-10-01

What it is

Released byDeepFloyd
Released2023-03-21
Parameters372M
VRAM10.1 GB for the weights

What it runs on

Memory and cards for IF-I-M-v1.0 (FP32)

10.1 GBweights, file size
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GB … RTX 4060 Ti 16 GBdoes not fit
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. How to run this model is on its model card.

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms