Can the RTX 3080 10 GB run HiDream-O1-Image?
Not entirely. Even FP8 is 0.9 GB over 10 GB, so ComfyUI keeps part of it in system RAM.
Nothing fits entirely, but FP8 (8.1 GB) overflows by only about 0.9 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.
Also try the FP8 file (8.1 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →
01With more VRAM
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 3080 10 GB to the RTX 3090 24 GB → · What changes from the RTX 3080 10 GB to the RTX 5070 Ti 16 GB →
02Every HiDream-O1 file on 10 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 16.4 GB | 19.2 GB | 9.2 GB too big | the original weights | Hugging Face → |
| FP8 ← SAFETENSORS · Comfy-Org | 8.1 GB | 10.9 GB | spills 0.9 GB | practically identical to the original | Hugging Face → |
“Needed” adds 2 GB of working memory for HiDream-O1 and a 0.8 GB reserve. Sizes 2026-10-01. 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.
03What 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 from Hugging Face, 2026-10-01.
04The 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.
05Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run HiDream-O1 on a RTX 3080 10 GB, send your time per image and peak VRAM and it will appear here, credited.
06About the RTX 3080 10 GB
The RTX 3080 10 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.
10 GB GDDR6X · 320-bit · 760 GB/s · Ampere. Everything that runs on it →
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). The full 16-bit file needs about 19.2 GB.
Which HiDream-O1 file should I download for the RTX 3080 10 GB?
FP8 (8.1 GB) from Comfy-Org/HiDream-O1-Image.
How much do I need to download for HiDream-O1 on the RTX 3080 10 GB?
8.1 GB: hidream_o1_image_fp8_scaled.safetensors.