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Can the RTX 4050 Laptop 6 GB run Illustrious XL / Pony (SDXL anime)?

Yes, but only just: FP8 leaves 0.5 GB free on the RTX 4050 Laptop 6 GB.

Image model · 3.5B6 GB GDDR6 · 96-bit · Ada Lovelace · 35–115 WData 2026-10-01
Runs well
Yes, just.

FP8 (3.5 GB) fits with only 0.5 GB to spare (about 5.5 GB of 6 GB).

Best fileFP8
File size3.5 GB
VRAM needed~5.5 GB
System RAM16 GB+
Memory map · RTX 4050 Laptop 6 GB5.5 GB / 6 GB
03 GB6 GB
Weights FP8 · 3.5 GBWorking memory · 1.2 GBReserve · 0.8 GBFree · 0.5 GB

01What to download

PartFileFolderSize
Modelillustrious_fp8_e4m3fn.safetensors
FP8 · calcuis/illustrious
models/diffusion_models3.5 GBDownload →
Total download · keep about the same free on disk3.5 GB

The calcuis FP8 and GGUF files contain the UNet only: take the text encoders and VAE from any SDXL checkpoint, or use the 16-bit checkpoint if it fits. Sizes from Hugging Face, 2026-10-01.

02Every Illustrious / Pony file on 6 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · OnomaAIResearch
6.9 GB7.1 GBspills 1.1 GBthe original weightsHugging Face →
FP8 ←
SAFETENSORS · calcuis
3.5 GB5.5 GBfits · 0.5 GB sparepractically identical to the originalHugging Face →
Q8_0
GGUF · calcuis
2.7 GB4.7 GBfits · 1.3 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · calcuis
2.1 GB4.1 GBfits · 1.9 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · calcuis
1.8 GB3.8 GBfits · 2.2 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · calcuis
1.5 GB3.5 GBfits · 2.5 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · calcuis
1.2 GB3.2 GBfits · 2.8 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · calcuis
0.9 GB2.9 GBfits · 3.1 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.2 GB of working memory for Illustrious / Pony and a 0.8 GB reserve. Sizes 2026-10-01. 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.

03The text encoder

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

04Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run Illustrious / Pony on a RTX 4050 Laptop 6 GB, send your time per image and peak VRAM and it will appear here, credited.

05About the RTX 4050 Laptop 6 GB

The RTX 4050 Laptop 6 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.) As a laptop GPU it runs at a lower power limit than desktop cards (35–115 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.

6 GB GDDR6 · 96-bit · Ada Lovelace · 35–115 W. Everything that runs on it →

06Questions

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). The full 16-bit file needs about 7.1 GB.

Which Illustrious / Pony file should I download for the RTX 4050 Laptop 6 GB?

FP8 (3.5 GB) from calcuis/illustrious.

FP8 or Q8_0 for Illustrious / Pony on the RTX 4050 Laptop 6 GB?

FP8 (3.5 GB): the RTX 4050 Laptop 6 GB computes it natively, while Q8_0 (2.7 GB) is unpacked on the fly.

How much do I need to download for Illustrious / Pony on the RTX 4050 Laptop 6 GB?

3.5 GB: illustrious_fp8_e4m3fn.safetensors.