Can the RTX 3090 24 GB run Boogu-Image (Turbo)?
Yes, but only just: 16-bit leaves 0.8 GB free on the RTX 3090 24 GB.
16-bit (20.6 GB) fits with only 0.8 GB to spare (about 23.2 GB of 24 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | boogu_image_turbo_bf16.safetensors 16-bit · Comfy-Org/Boogu-Image | models/diffusion_models | 20.6 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 | 31.3 GB | |||
Sizes from Hugging Face, 2026-10-01.
System RAM: 48 GB or more. These files take about 31.3 GB of RAM while loaded, 37.3 GB with Windows and ComfyUI. What happens with less. calculated
02Every Boogu-Image file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | fits · 0.8 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | fits · 9.8 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 10.3 GB | 12.9 GB | fits · 11.1 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | fits · 10.0 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · realrebelai | 8.6 GB | 11.2 GB | fits · 12.8 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | fits · 14.0 GB spare | 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.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Boogu-Image on a RTX 3090 24 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 3090 24 GB
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.
24 GB GDDR6X · 384-bit · 936 GB/s · Ampere. Everything that runs on it →
05Questions
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 3090 24 GB?
16-bit (20.6 GB) from Comfy-Org/Boogu-Image.
FP8 or Q8_0 for Boogu-Image on the RTX 3090 24 GB?
Q8_0 (11.6 GB). The RTX 3090 24 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 3090 24 GB?
31.3 GB: boogu_image_turbo_bf16.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.