Can the RTX 3080 10 GB run Boogu-Image (Turbo)?
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.
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 (10.3 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 | |
|---|---|---|---|---|
| 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 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 19.4 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 25.4 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated
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 → |
Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.8 GB working memory for this model + 0.8 GB kept free for the system.
03The text encoder
Qwen3-VL 8B: 10.6 GB as FP8, 6.3 GB as NVFP4. ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. Use the smallest encoder file; it still fits on its own.
04About this GPU
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.
RTX 3080 10 GB: 10 GB GDDR6X · 320-bit · 760 GB/s · Ampere. Everything that runs on the RTX 3080 10 GB →
05What more VRAM would change
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 →
06Measured 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.
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), counting working memory and a small system reserve. 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.
Is FP8 faster than GGUF on the RTX 3080 10 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 Boogu-Image on the RTX 3080 10 GB?
About 19.4 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 10 GB card, 32 GB of system RAM or more is recommended.