Image models ·

Ideogram 4

Backbone
18.6B
Native output
1024×1024
Default steps
48
License
ideogram-4-non-commercial
Released
2026-06

How to run it

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

huggingface.co/leejet/ideogram-4-GGUF (opens in a new tab)

Original weights · Hugging Face

Full-precision files from Ideogram, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/ideogram-ai/ideogram-4-fp8 (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Official repo · GitHub

Reference code, inference scripts and docs from Ideogram. The weights themselves download from Hugging Face.

github.com/ideogram-oss/ideogram4 (opens in a new tab)

git clone https://github.com/ideogram-oss/ideogram4

Links checked 1 day ago against Hugging Face, Ollama and GitHub.

Apps that run Ideogram 4

Our pick for each kind of computer, assuming the model fits in its memory. Pick your own GPU or device in the Model Finder for an exact answer.

Mac (Apple silicon)

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

Windows PC, NVIDIA GPU

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

Linux, NVIDIA or AMD GPU

ComfyUI

Runs this model with built-in or popular custom nodes; GGUF files load with ComfyUI-GGUF.

Also good:

App Type Opens it as Systems Engine Start
Unsloth Desktop Desktop app GGUF macOSWindowsLinux llama.cpp, MLX, stable-diffusion.cpp Open in Unsloth Desktop
ComfyUI Desktop app Original or GGUF macOSWindowsLinux PyTorch, GGUF via ComfyUI-GGUF Get ComfyUI
SwarmUI Desktop app Original or GGUF macOSWindowsLinux ComfyUI Get SwarmUI
SD.Next Desktop app Original or GGUF macOSWindowsLinux PyTorch Get SD.Next
Stability Matrix Desktop app Original or GGUF macOSWindowsLinux installs ComfyUI, Forge, InvokeAI, SwarmUI, SD.Next or Fooocus Get Stability Matrix

Which apps can open a model depends on the files published for it: GGUF for llama.cpp-based apps, MLX for Apple’s engine, the original weights for vLLM and SGLang. Compare every app.

Memory needed

Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.

Precision Everything on GPU Text encoder offloaded Sequential offload Download
FP16 57.3 GB 39.7 GB 15.4 GB Original weights (opens in a new tab)
FP8 29.9 GB 21.2 GB 8.9 GB Original weights (opens in a new tab)
Q4 GGUF 22.5 GB 13.7 GB 6.3 GB GGUF (opens in a new tab)
NF4 21.8 GB 13.0 GB 6.1 GB Original weights (opens in a new tab)

Components

Best hardware for Ideogram 4

The least expensive GPU in our catalog that runs it without offloading is the Intel Arc A580 (launch price $179) at NF4.

Quality Hardware Quant Memory Speed Runs
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA RTX PRO 6000 Blackwell Workstation EditionNVIDIA RTX PRO 6000 Blackwell FP16 57.3 GB / 96.0 GB 18 s Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5090 Founders EditionNVIDIA GeForce RTX 5090 FP8 29.9 GB / 32.0 GB 19 s Runs welltight fit
85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4090 Founders EditionNVIDIA GeForce RTX 4090 NF4 21.8 GB / 24.0 GB 28 s Runs welltight fit
85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 7900 XTX Vapor-X 24GBAMD Radeon RX 7900 XTX NF4 21.8 GB / 24.0 GB 31 s Runs welltight fit
85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Sapphire NITRO+ AMD Radeon RX 9070 XT OCAMD Radeon RX 9070 XT NF4 13.0 GB / 16.0 GB 38 s Runs wellencoder in RAM
85Excellent quality (A+) · 85 of 100: how capable the model is at NF4, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5080 Founders EditionNVIDIA GeForce RTX 5080 NF4 13.0 GB / 16.0 GB 38 s Runs wellencoder in RAM
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H100 80GB SXMNVIDIA H100 80GB SXM FP16 57.3 GB / 80.0 GB 17 s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H800 80GB SXMNVIDIA H800 80GB SXM FP16 57.3 GB / 80.0 GB 17 s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA H100 80GB PCIeNVIDIA H100 80GB PCIe FP16 57.3 GB / 80.0 GB 21 s Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GH200 Grace Hopper (96 GB GPU)NVIDIA GH200 Grace Hopper (96 GB GPU) FP16 57.3 GB / 96.0 GB 17 s Runs well

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

Was this page helpful?