Can the Mac 32 GB run Boogu-Image (Turbo)?
Yes. 16-bit fits on the Mac 32 GB with 3.6 GB to spare.
Take 16-bit (20.6 GB). In use it comes to about 23.2 GB, with 3.6 GB left over on 26.8 GB.
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 | |||
On a Mac, FP8 text encoders do not load, so a 16-bit one is listed. Sizes from Hugging Face, 2026-10-01.
Shared memory: about 37.3 GB of your 32 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 5.3 GB more than there is. It still runs: while the model works, the system compresses or swaps the idle text encoder, so loading and changing the prompt get slower. A smaller file or text encoder avoids that. calculated
02Every Boogu-Image file on 26.8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 20.6 GB | 23.2 GB | fits · 3.6 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · realrebelai | 11.6 GB | 14.2 GB | fits · 12.6 GB spare | practically identical to the original | Hugging Face → |
| Q5_1 GGUF · realrebelai | 8.6 GB | 11.2 GB | fits · 15.6 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_1 GGUF · realrebelai | 7.4 GB | 10.0 GB | fits · 16.8 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. FP8 and INT8 files are left out on a Mac: Apple GPUs cannot compute FP8, so ComfyUI either fails to load them or converts them back to 16-bit, which saves no memory. Use a 16-bit or GGUF file.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Boogu-Image on a Mac 32 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the Mac 32 GB
A Mac with 32 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 26.8 GB of it by default (older macOS versions: about 22.9 GB); that is the figure used here. ComfyUI can go past it, but macOS then starts compressing and swapping memory and everything slows down. ComfyUI runs on Apple GPUs through PyTorch's MPS backend. 16-bit and GGUF files work; FP8 and INT8 files do not save memory on a Mac, so they are skipped. Speed is the catch: even the fastest Macs are several times slower per image than a desktop RTX card. Chips sold with 32 GB: M1 Pro, M1 Max, M2 Pro, M2 Max, M4, M5, M6 (memory bandwidth 120–400 GB/s - the higher, the faster). Everything about Macs and local AI →
32 GB unified · ~26.8 GB for the GPU · 120–400 GB/s · Apple Silicon. 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 Mac 32 GB?
16-bit (20.6 GB) from Comfy-Org/Boogu-Image.
FP8 or Q8_0 for Boogu-Image on the Mac 32 GB?
Q8_0 (11.6 GB). The Mac 32 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 Mac 32 GB?
31.3 GB: boogu_image_turbo_bf16.safetensors, qwen3vl_8b_fp8_scaled.safetensors, flux1_vae_bf16.safetensors.