Can the RTX 3080 10 GB run Boogu-Image (Turbo)?
Not entirely. Even Q5_1 is 1.2 GB over 10 GB, so ComfyUI keeps part of it in system RAM.
Nothing fits entirely, but Q5_1 (8.6 GB) overflows by only about 1.2 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.
Also try the FP8 file (10.3 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 16 GB you could run Boogu-Image at 8-bit or better (Q8_0, 11.6 GB) with no offloading: for example on the RTX 5080 16 GB, RTX 5070 Ti 16 GB, RTX 5060 Ti 16 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 Boogu-Image file on 10 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | 13.2 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | 4.2 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 10.3 GB | 12.9 GB | 2.9 GB too big | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | 4.0 GB too big | practically identical to the original | Hugging Face → |
| Q5_1 ← GGUF · realrebelai | 8.6 GB | 11.2 GB | spills 1.2 GB | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | spills 0.0 GB | good; some loss in fine detail and text | Hugging Face → |
“Needed” adds 1.8 GB of working memory for Boogu-Image and a 0.8 GB reserve. Sizes 2026-10-01.
03What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | boogu-turbo-dit-Q5_1.gguf Q5_1 · realrebelai/Boogu-Image-Turbo_GGUFs | models/unet | 8.6 GB | Download → |
| Text encoder | qwen3vl_8b_fp8_scaled.safetensors Qwen3-VL 8B FP8 · Comfy-Org/Boogu-Image | models/text_encoders | 10.6 GB | Download → |
| VAE | flux1_vae_bf16.safetensors FLUX.1 VAE BF16 · Comfy-Org/Boogu-Image | models/vae | 0.2 GB | Download → |
| Total download · keep about the same free on disk | 19.4 GB | |||
Sizes from Hugging Face, 2026-10-01.
04The text encoder
Take the smallest Qwen3-VL 8B file (6.3 GB): it is the only one that fits in 10 GB on its own. Sizes: FP8 10.6 GB, NVFP4 6.3 GB. Why the encoder does not count against VRAM →
05Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Boogu-Image 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 Boogu-Image need?
Around 10.0 GB with the smallest file (Q4_1) and 12.9 GB with an 8-bit file (FP8). The full 16-bit file needs about 23.2 GB.
Which Boogu-Image file should I download for the RTX 3080 10 GB?
Q5_1 (8.6 GB) from realrebelai/Boogu-Image-Turbo_GGUFs. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Boogu-Image on the RTX 3080 10 GB?
Q8_0 (11.6 GB). The RTX 3080 10 GB has no FP8 maths, so FP8 (10.3 GB) only saves memory and is a step further from the original.
How much do I need to download for Boogu-Image on the RTX 3080 10 GB?
19.4 GB: boogu-turbo-dit-Q5_1.gguf, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.