Can the RTX 3090 24 GB run HiDream-O1-Image?
Download 16-bit (16.4 GB). With the model's working memory it needs about 19.2 GB, leaving 4.8 GB spare on 24 GB. Quality: the original weights.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Checkpoint | hidream_o1_image_bf16.safetensors 16-bit · Comfy-Org/HiDream-O1-Image | models/checkpoints | 16.4 GB | Download → |
| Total download · keep about the same free on disk | 16.4 GB | |||
One file: this model has no separate text encoder or VAE. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.
System RAM: 32 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 16.4 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 22.4 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated
02Every HiDream-O1 file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 16.4 GB | 19.2 GB | fits · 4.8 GB spare | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 8.1 GB | 10.9 GB | fits · 13.1 GB spare | practically identical to the original | Hugging Face → |
Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 2 GB working memory for this model + 0.8 GB kept free for the system. The Comfy-Org files are complete checkpoints (loaded from the checkpoints folder); there is no separate text encoder or VAE to add. No GGUF version was found.
03The text encoder
This model has no separate text encoder: reading the prompt is built into the model itself, so its memory is already in the file sizes above.
04About this GPU
The RTX 3090 24 GB (Ampere) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain — Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.
RTX 3090 24 GB: 24 GB GDDR6X · 384-bit · 936 GB/s · Ampere. Everything that runs on the RTX 3090 24 GB →
05What more VRAM would change
Nothing to gain for this model: the RTX 3090 24 GB already runs a top-quality file entirely in VRAM. More memory would only help with bigger images, longer clips or several models at once.
What changes from the RTX 3090 24 GB to the RTX 4090 24 GB → · What changes from the RTX 3090 24 GB to the RTX 5090 32 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run HiDream-O1 on a RTX 3090 24 GB, send your time per image and peak VRAM and it will appear here, credited.
07Questions
How much VRAM does HiDream-O1 need?
Around 10.9 GB with the smallest file (FP8) and 10.9 GB with an 8-bit file (FP8), counting working memory and a small system reserve. The full 16-bit file needs about 19.2 GB.
Which HiDream-O1 file should I download for the RTX 3090 24 GB?
16-bit (16.4 GB) from Comfy-Org/HiDream-O1-Image.
Is FP8 faster than GGUF on the RTX 3090 24 GB?
No. This GPU has no FP8 compute, so ComfyUI converts FP8 weights back before the maths. FP8 only saves memory here; Q8_0 GGUF is the closer-to-original 8-bit pick.
How much do I need to download for HiDream-O1 on the RTX 3090 24 GB?
About 16.4 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 24 GB card, 32 GB of system RAM or more is recommended.