Can the RTX 4090 24 GB run Ideogram 4?
Yes. FP8 fits on the RTX 4090 24 GB with 3.1 GB to spare.
Take FP8 (9.3 GB (×2, both loaded)). In use it comes to about 20.9 GB, with 3.1 GB left over on 24 GB.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | ideogram4_fp8_scaled.safetensors main model FP8 · Comfy-Org/Ideogram-4 | models/diffusion_models | 9.3 GB | Download → |
| Model | ideogram4_unconditional_fp8_scaled.safetensors unconditional model, loaded together with the main one FP8 · Comfy-Org/Ideogram-4 | models/diffusion_models | 9.3 GB | Download → |
| Text encoder | qwen3vl_8b_fp8_scaled.safetensors Qwen3-VL 8B FP8 · Comfy-Org/Ideogram-4 | models/text_encoders | 10.6 GB | Download → |
| VAE | flux2-vae.safetensors FLUX.2 VAE · Comfy-Org/Ideogram-4 | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 29.5 GB | |||
Alternatives: Qwen3-VL 8B NVFP4 (6.3 GB). FP4 files are listed only as alternatives unless the GPU is an RTX 50 (Blackwell). Sizes from Hugging Face, 2026-10-01.
System RAM: 48 GB or more. These files (both noise models) take about 29.5 GB of RAM while loaded, 35.5 GB with Windows and ComfyUI. What happens with less. calculated
02Every Ideogram 4 file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| FP8 ← SAFETENSORS · Comfy-Org | 9.3 GB ×2 | 20.9 GB | fits · 3.1 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 9.6 GB ×2 | 21.5 GB | fits · 2.5 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · molbal | 10.1 GB ×2 | 22.6 GB | fits · 1.4 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · molbal | 7.3 GB ×2 | 17.0 GB | fits · 7.0 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · molbal | 6.2 GB ×2 | 14.7 GB | fits · 9.3 GB spare | good; some loss in fine detail and text | Hugging Face → |
“Needed” adds 1.5 GB of working memory for Ideogram 4 and a 0.8 GB reserve. Sizes 2026-10-01. Needs two transformer files loaded together (main + unconditional). GGUF files need the molbal fork of ComfyUI-GGUF. No 16-bit weights were released.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Ideogram 4 on a RTX 4090 24 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 4090 24 GB
The RTX 4090 24 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)
24 GB GDDR6X · 384-bit · 1008 GB/s · Ada Lovelace. Everything that runs on it →
05Questions
How much VRAM does Ideogram 4 need?
Around 14.7 GB with the smallest file (Q4_1) and 20.9 GB with an 8-bit file (FP8).
Which Ideogram 4 file should I download for the RTX 4090 24 GB?
FP8 (9.3 GB) from Comfy-Org/Ideogram-4.
FP8 or Q8_0 for Ideogram 4 on the RTX 4090 24 GB?
FP8 (9.3 GB): the RTX 4090 24 GB computes it natively, while Q8_0 (10.1 GB) is unpacked on the fly.
How much do I need to download for Ideogram 4 on the RTX 4090 24 GB?
29.5 GB: ideogram4_fp8_scaled.safetensors, ideogram4_unconditional_fp8_scaled.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux2-vae.safetensors.