Can the RTX 4060 Ti 8 GB run HiDream-O1-Image?
The smallest sensible file, FP8 (8.1 GB), needs about 10.9 GB — 2.9 GB more than RTX 4060 Ti 8 GB has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link — see the note below.
Worth trying on this GPU: with an up-to-date ComfyUI, Dynamic VRAM (on by default for NVIDIA since March 2026) streams whatever does not fit from system RAM, and ComfyUI's own start-up message recommends native FP8/INT8 files over GGUF, saying they “will be faster even if they are larger than your memory”. So before settling for a heavily compressed GGUF, try the native FP8 file (8.1 GB). The file recommended above is the best one that fits entirely — the safe choice on older ComfyUI versions, AMD and Intel. Comfy blog: Dynamic VRAM →
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Checkpoint | hidream_o1_image_fp8_scaled.safetensors FP8 · Comfy-Org/HiDream-O1-Image | models/checkpoints | 8.1 GB | Download → |
| Total download · keep about the same free on disk | 8.1 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: 16 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 8.1 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 14.1 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 8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 16.4 GB | 19.2 GB | 11.2 GB too big | the original weights | Hugging Face → |
| FP8 ← SAFETENSORS · Comfy-Org | 8.1 GB | 10.9 GB | 2.9 GB too big | 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 4060 Ti 8 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.)
RTX 4060 Ti 8 GB: 8 GB GDDR6 · 128-bit · 288 GB/s · Ada Lovelace. Everything that runs on the RTX 4060 Ti 8 GB →
05What more VRAM would change
With 12 GB you could run HiDream-O1 at 8-bit or better (FP8, 8.1 GB) with no offloading: for example on the RTX 5070 12 GB, RTX 4070 Super 12 GB, RTX 4070 12 GB.
What changes from the RTX 4060 Ti 8 GB to the RTX 5060 Ti 16 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run HiDream-O1 on a RTX 4060 Ti 8 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 4060 Ti 8 GB?
FP8 (8.1 GB) from Comfy-Org/HiDream-O1-Image.
Is FP8 faster than GGUF on the RTX 4060 Ti 8 GB?
It can be. This GPU has FP8 hardware, and ComfyUI computes FP8 natively for files made for it (Comfy-Org's fp8_scaled files), or for any FP8 file with the --fast fp8_matrix_mult option. GGUF files are unpacked on the fly, which costs some speed.
How much do I need to download for HiDream-O1 on the RTX 4060 Ti 8 GB?
About 8.1 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 8 GB card, 16 GB of system RAM or more is recommended.