Datasheet for local AI49 models98 GPUsData read 2026-09-25
No adsNo tracking
Check my GPU →

Can the Mac 32 GB run Illustrious XL / Pony (SDXL anime)?

Image model · 3.5B32 GB unified · ~26.8 GB for the GPU · 120–400 GB/s · Apple SiliconData 2026-09-25
Runs well
Yes — and comfortably.

Download 16-bit (6.9 GB). With the model's working memory it needs about 7.1 GB, leaving 19.7 GB spare on 26.8 GB. Quality: the original weights.

Best file16-bit
File size6.9 GB
GPU memory needed~7.1 GB
Shared memory13 / 32 GB
Memory map · Mac 32 GB7.1 GB / 26.8 GB
013 GB27 GB
Weights 16-bit · 5.1 GBWorking memory · 1.2 GBReserve · 0.8 GBFree · 19.7 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

01What to download

PartFileFolderSize
CheckpointIllustrious-XL-v0.1.safetensors
16-bit · OnomaAIResearch/Illustrious-xl-early-release-v0
models/checkpoints6.9 GBDownload →
Total download · keep about the same free on disk6.9 GB

One file: the checkpoint already contains the text encoders and the VAE. On a Mac, FP8 text encoders do not load, so a 16-bit one is listed. 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.

Shared memory: about 12.9 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 leaves room, so nothing has to be swapped to disk. calculated

02Every Illustrious / Pony file on 26.8 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · OnomaAIResearch
6.9 GB7.1 GBfits · 19.7 GB sparethe original weightsHugging Face →
Q8_0
GGUF · calcuis
2.7 GB4.7 GBfits · 22.1 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · calcuis
2.1 GB4.1 GBfits · 22.7 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · calcuis
1.8 GB3.8 GBfits · 23.0 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · calcuis
1.5 GB3.5 GBfits · 23.3 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · calcuis
1.2 GB3.2 GBfits · 23.6 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · calcuis
0.9 GB2.9 GBfits · 23.9 GB spareheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.2 GB working memory for this model + 0.8 GB kept free for the system. The 6.94 GB checkpoint holds the UNet plus text encoders and VAE; only the UNet (about 5.1 GB) sits in VRAM while sampling. The GGUF and FP8 files from calcuis contain the UNet only. 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.

03The text encoder

The text encoder is inside the checkpoint, so there is nothing extra to download.

04About this GPU

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 →

Mac 32 GB: 32 GB unified · ~26.8 GB for the GPU · 120–400 GB/s · Apple Silicon. Everything that runs on the Mac 32 GB →

05What more VRAM would change

Nothing to gain for this model: the Mac 32 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.

06Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run Illustrious / Pony on a Mac 32 GB, send your time per image and peak VRAM and it will appear here, credited.

07Questions

How much VRAM does Illustrious / Pony need?

Around 2.9 GB with the smallest file (Q2_K) and 5.5 GB with an 8-bit file (FP8), counting working memory and a small system reserve. The full 16-bit file needs about 7.1 GB.

Which Illustrious / Pony file should I download for the Mac 32 GB?

16-bit (6.9 GB) from OnomaAIResearch/Illustrious-xl-early-release-v0.

Is FP8 faster than GGUF on the Mac 32 GB?

No. This GPU has no FP8 compute, so ComfyUI converts FP8 weights back before the maths. FP8 only saves memory here; Q8_0 GGUF is the closer-to-original 8-bit pick.

How much do I need to download for Illustrious / Pony on the Mac 32 GB?

About 6.9 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 26.8 GB card, 16 GB of system RAM or more is recommended.