Can the RX 9070 XT 16 GB run Boogu-Image (Turbo)?
Yes. FP8 fits on the RX 9070 XT 16 GB with 3.1 GB to spare.
Take FP8 (10.3 GB). In use it comes to about 12.9 GB, with 3.1 GB left over on 16 GB.
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 from Hugging Face, 2026-10-01.
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 → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | fits · 2.0 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 → |
| 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 → |
“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 RX 9070 XT 16 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the RX 9070 XT 16 GB
ComfyUI supports AMD GPUs on Windows officially since v0.7.0 (January 2026), through ROCm. Memory works the same as on NVIDIA, so the fit verdicts apply. Some custom nodes are NVIDIA-only. RX 9000 (RDNA 4) GPUs have FP8 hardware, and ComfyUI computes FP8 natively on them with PyTorch 2.7+ and ROCm 6.4+.
16 GB GDDR6 · 256-bit · 640 GB/s · RDNA 4. 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 RX 9070 XT 16 GB?
FP8 (10.3 GB) from Comfy-Org/Boogu-Image.
FP8 or Q8_0 for Boogu-Image on the RX 9070 XT 16 GB?
FP8 (10.3 GB): the RX 9070 XT 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 RX 9070 XT 16 GB?
21.1 GB: boogu_image_turbo_fp8_scaled.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.