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Can the RTX 4060 Ti 16 GB run Boogu-Image (Turbo)?

Yes. FP8 fits on the RTX 4060 Ti 16 GB with 3.1 GB to spare.

Image model · 10.29B16 GB GDDR6 · 128-bit · 288 GB/s · Ada LovelaceData 2026-10-01
Runs well
Yes.

Take FP8 (10.3 GB). In use it comes to about 12.9 GB, with 3.1 GB left over on 16 GB.

Best fileFP8
File size10.3 GB
VRAM needed~12.9 GB
System RAM32 GB+
Memory map · RTX 4060 Ti 16 GB12.9 GB / 16 GB
08 GB16 GB
Weights FP8 · 10.3 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 3.1 GB

01What to download

PartFileFolderSize
Modelboogu_image_turbo_fp8_scaled.safetensors
FP8 · Comfy-Org/Boogu-Image
models/diffusion_models10.3 GBDownload →
Text encoderqwen3vl_8b_fp8_scaled.safetensors
Qwen3-VL 8B FP8 · Comfy-Org/Boogu-Image
models/text_encoders10.6 GBDownload →
VAEflux1_vae_bf16.safetensors
FLUX.1 VAE BF16 · Comfy-Org/Boogu-Image
models/vae0.2 GBDownload →
Total download · keep about the same free on disk21.1 GB

Sizes from Hugging Face, 2026-10-01.

02Every Boogu-Image file on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
20.6 GB23.2 GB7.2 GB too bigthe original weightsHugging Face →
FP8 ←
SAFETENSORS · Comfy-Org
10.3 GB12.9 GBfits · 3.1 GB sparepractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
11.4 GB14.0 GBfits · 2.0 GB sparepractically identical to the originalHugging Face →
Q8_0
GGUF · realrebelai
11.6 GB14.2 GBfits · 1.8 GB sparepractically identical to the originalHugging Face →
Q5_1
GGUF · realrebelai
8.6 GB11.2 GBfits · 4.8 GB spareclose; small differences in fine detailHugging Face →
Q4_1
GGUF · realrebelai
7.4 GB10.0 GBfits · 6.0 GB sparegood; some loss in fine detail and textHugging 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 4060 Ti 16 GB, send your time per image and peak VRAM and it will appear here, credited.

04About the RTX 4060 Ti 16 GB

The RTX 4060 Ti 16 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)

16 GB GDDR6 · 128-bit · 288 GB/s · Ada Lovelace. 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 4060 Ti 16 GB?

FP8 (10.3 GB) from Comfy-Org/Boogu-Image.

FP8 or Q8_0 for Boogu-Image on the RTX 4060 Ti 16 GB?

FP8 (10.3 GB): the RTX 4060 Ti 16 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 4060 Ti 16 GB?

21.1 GB: boogu_image_turbo_fp8_scaled.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.