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Can the Arc B580 12 GB run LTX-Video 13B (0.9.8)?

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 Q3_K_M (6.5 GB).

Video model · 13B12 GB GDDR6 · 192-bit · 456 GB/s · BattlemageData 2026-10-01
Tight
Only just.

Q3_K_M (6.5 GB) fits with only 1.2 GB to spare (about 10.8 GB of 12 GB). Quality: noticeable loss of detail. For better quality, Q4_K_M (8.8 GB) also runs, with about 1.1 GB spilling into system RAM - a little slower, still practical.

Best fileQ3_K_M
File size6.5 GB
VRAM needed~10.8 GB
System RAM32 GB+
Memory map · Arc B580 12 GB10.8 GB / 12 GB
06 GB12 GB
Weights Q3_K_M · 6.5 GBWorking memory · 3.5 GBReserve · 0.8 GBFree · 1.2 GB

01What to download

PartFileFolderSize
ModelLTXV-13B-0.9.8-dev-Q3_K_M.gguf
Q3_K_M · QuantStack/LTXV-13B-0.9.8-dev-GGUF
models/unet6.5 GBDownload →
Text encodert5xxl_fp8_e4m3fn_scaled.safetensors
T5-XXL FP8 (scaled) · comfyanonymous/flux_text_encoders
models/text_encoders5.2 GBDownload →
VAELTXV-13B-0.9.8-dev-VAE.safetensors
LTXV 13B 0.9.8 VAE (standalone, QuantStack) · QuantStack/LTXV-13B-0.9.8-dev-GGUF
models/vae2.5 GBDownload →
Total download · keep about the same free on disk14.2 GB

Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.

02Every LTX-Video 13B file on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Lightricks
28.6 GB32.9 GB20.9 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · QuantStack
14.0 GB18.3 GB6.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Lightricks
15.7 GB20.0 GB8.0 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
10.9 GB15.2 GB3.2 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
9.8 GB14.1 GB2.1 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
8.8 GB13.1 GBspills 1.1 GBgood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · QuantStack
6.5 GB10.8 GBfits · 1.2 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
4.7 GB9.0 GBfits · 3.0 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 3.5 GB of working memory for LTX-Video 13B 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 LTX-Video 13B on a Arc B580 12 GB, send your time per image and peak VRAM and it will appear here, credited.

04With more VRAM

With 20 GB you could run LTX-Video 13B at 8-bit or better (Q8_0, 14.0 GB) with no offloading.

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 LTX-Video 13B need?

Around 9.0 GB with the smallest file (Q2_K) and 20.0 GB with an 8-bit file (FP8). The full 16-bit file needs about 32.9 GB.

Which LTX-Video 13B file should I download for the Arc B580 12 GB?

Q3_K_M (6.5 GB) from QuantStack/LTXV-13B-0.9.8-dev-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for LTX-Video 13B on the Arc B580 12 GB?

Q8_0 (14.0 GB). The Arc B580 12 GB has no FP8 maths, so FP8 (15.7 GB) only saves memory and is a step further from the original.

How much do I need to download for LTX-Video 13B on the Arc B580 12 GB?

14.2 GB: LTXV-13B-0.9.8-dev-Q3_K_M.gguf, t5xxl_fp8_e4m3fn_scaled.safetensors, LTXV-13B-0.9.8-dev-VAE.safetensors.