Can the RTX 5090 32 GB run Boogu-Image (Turbo)?
Yes. 16-bit fits on the RTX 5090 32 GB with 8.8 GB to spare.
16-bit (20.6 GB) needs about 23.2 GB in use, so 8.8 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.
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 32 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | fits · 8.8 GB spare | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 10.3 GB | 12.9 GB | fits · 19.1 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | fits · 18.0 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | fits · 17.8 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · realrebelai | 8.6 GB | 11.2 GB | fits · 20.8 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | fits · 22.0 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 5090 32 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RTX 5090 32 GB
The RTX 5090 32 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.
32 GB GDDR7 · 512-bit · 1792 GB/s · Blackwell. 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 5090 32 GB?
16-bit (20.6 GB) from Comfy-Org/Boogu-Image.
FP8 or Q8_0 for Boogu-Image on the RTX 5090 32 GB?
FP8 (10.3 GB): the RTX 5090 32 GB computes it natively, while Q8_0 (11.6 GB) is unpacked on the fly.
How much do I need to download for Boogu-Image on the RTX 5090 32 GB?
31.3 GB: boogu_image_turbo_bf16.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.