Can the RTX 5070 Ti 16 GB run Boogu-Image (Turbo)?
Download FP8 (10.3 GB). With the model's working memory it needs about 12.9 GB, leaving 3.1 GB spare on 16 GB. Quality: practically identical to the original.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | boogu_image_turbo_fp8_scaled.safetensors FP8 · Comfy-Org/Boogu-Image | models/diffusion_models | 10.3 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 | 21.1 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 21.1 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 27.1 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 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | 7.2 GB too big | the original weights | Hugging Face → |
| FP8 ← SAFETENSORS · Comfy-Org | 10.3 GB | 12.9 GB | fits · 3.1 GB spare | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | fits · 1.8 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | fits · 2.0 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · realrebelai | 8.6 GB | 11.2 GB | fits · 4.8 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | fits · 6.0 GB spare | 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. On 16 GB the FP8 encoder fits on its own, so prompt encoding stays fast.
04About this GPU
The RTX 5070 Ti 16 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.
RTX 5070 Ti 16 GB: 16 GB GDDR7 · 256-bit · 896 GB/s · Blackwell. Everything that runs on the RTX 5070 Ti 16 GB →
05What more VRAM would change
Nothing to gain for this model: the RTX 5070 Ti 16 GB already runs a top-quality file entirely in VRAM. More memory would only help with bigger images, longer clips or several models at once.
What changes from the RTX 5070 Ti 16 GB to the RTX 5090 32 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Boogu-Image on a RTX 5070 Ti 16 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 5070 Ti 16 GB?
FP8 (10.3 GB) from Comfy-Org/Boogu-Image.
Is FP8 faster than GGUF on the RTX 5070 Ti 16 GB?
It can be. This GPU has FP8 hardware, and ComfyUI computes FP8 natively for files made for it (Comfy-Org's fp8_scaled files), or for any FP8 file with the --fast fp8_matrix_mult option. GGUF files are unpacked on the fly, which costs some speed.
How much do I need to download for Boogu-Image on the RTX 5070 Ti 16 GB?
About 21.1 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 16 GB card, 32 GB of system RAM or more is recommended.