Model reference · open weights

ideogram-4

Image ideogram-ai Text→image 1 build Non-commercial 50k dl/mo

ideogram-4 is an open-weight image model from ideogram-ai. ideogram-4-fp8 (FP8) weighs 27.5 GB; the smallest configuration that runs it is RTX 4060 Ti 16 GB.

  • Ideogram 4 is a 9.3B parameter text-to-image foundation model developed by Ideogram AI, trained from scratch on a fully single-stream Diffusion Transformer architecture.
  • It supports native 2k resolution images and features a structured JSON prompting interface that enables explicit control over bounding-box layout, color palettes, and multilingual text rendering.
  • The model is released under a non-commercial license and is available in fp8 and nf4 quantizations.

Summary of the ideogram-ai/ideogram-4-fp8 model card, 2026-10-01

What it is

Released byideogram-ai
Released2026-05-30
Parameters9.3B
VRAM27.5 GB for the weights

What it runs on

Memory and cards for ideogram-4-fp8 (FP8)

27.5 GBweights, file size
9.3 GBbiggest part
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GBdoes not fit11.6 GB
RTX 4060 Ti 16 GBtight (encoders offloaded)15.4 GB
RTX 3090 24 GBfits (encoders offloaded)23.4 GB
RTX 4090 24 GBfits (encoders offloaded)23.4 GB
RTX 5090 32 GBfits (encoders offloaded)31.0 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. ComfyUI is installed on it. Open ComfyUI through the tunnel, then Templates → Ideogram v4: Text to Image: it loads ComfyUI's own build of this model, the files above.

# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }

# the files of the template “Ideogram v4: Text to Image” (27.5 GB)
get Comfy-Org/flux2-dev split_files/vae/flux2-vae.safetensors vae
get Comfy-Org/Ideogram-4 diffusion_models/ideogram4_fp8_scaled.safetensors diffusion_models
get Comfy-Org/Qwen3-VL text_encoders/qwen3vl_8b_fp8_scaled.safetensors text_encoders
get Comfy-Org/Ideogram-4 diffusion_models/ideogram4_unconditional_fp8_scaled.safetensors diffusion_models

start-comfyui
Renting a GPU: connect, tunnels, ComfyUI
# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST and PORT are your machine's, from its page in the console
ssh -L 8188:localhost:8188 dev@HOST -p PORT
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