Can the Arc B580 12 GB run Boogu-Image (Turbo)?
Not at full quality. The 16-bit and 8-bit files are too big for the Arc B580 12 GB; the largest that fits is Q5_1 (8.6 GB).
Q5_1 (8.6 GB) fits with only 0.8 GB to spare (about 11.2 GB of 12 GB). Quality: close; small differences in fine detail. For better quality, FP8 (10.3 GB) also runs, with about 0.9 GB spilling into system RAM - a little slower, still practical.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | boogu-turbo-dit-Q5_1.gguf Q5_1 · realrebelai/Boogu-Image-Turbo_GGUFs | models/unet | 8.6 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 | 19.4 GB | |||
Sizes from Hugging Face, 2026-10-01.
02Every Boogu-Image file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | 11.2 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | 2.2 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 10.3 GB | 12.9 GB | spills 0.9 GB | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 11.4 GB | 14.0 GB | spills 2.0 GB | practically identical to the original | Hugging Face → |
| Q5_1 ← GGUF · realrebelai | 8.6 GB | 11.2 GB | fits · 0.8 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | fits · 2.0 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 Arc B580 12 GB, send your time per image and peak VRAM and it will appear here, credited.
04With more VRAM
With 16 GB you could run Boogu-Image at 8-bit or better (Q8_0, 11.6 GB) with no offloading: for example on the RTX 5080 16 GB, RTX 5070 Ti 16 GB, RTX 5060 Ti 16 GB.
What changes from the Arc B580 12 GB to the RTX 5060 Ti 16 GB →
05About the Arc B580 12 GB
Intel Arc GPUs run ComfyUI through PyTorch's native XPU support on Windows 11 and Linux. Memory works the same as on NVIDIA, so the fit verdicts apply. FP8 files save memory but give no speed-up, and some custom nodes are NVIDIA-only.
12 GB GDDR6 · 192-bit · 456 GB/s · Battlemage. Everything that runs on it →
06Questions
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 Arc B580 12 GB?
Q5_1 (8.6 GB) from realrebelai/Boogu-Image-Turbo_GGUFs. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Boogu-Image on the Arc B580 12 GB?
Q8_0 (11.6 GB). The Arc B580 12 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 Arc B580 12 GB?
19.4 GB: boogu-turbo-dit-Q5_1.gguf, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.