Datasheet for local AI49 models98 GPUsData read 2026-09-25
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LTX-Video 13B (0.9.8) on 8 GB of VRAM

Video model · 13BAny 8 GB GPUData 2026-09-25
Offload
Not entirely in VRAM, but it can still run.

Nothing fits entirely, but Q2_K (4.7 GB) overflows by only about 1.0 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.

Best fileQ2_K
File size4.7 GB
VRAM needed~9.0 GB
System RAM32 GB+
Memory map · 8 GB GPU9.0 GB needed · 1.0 GB over 8 GB
05 GB9 GB
Weights Q2_K · 4.7 GBWorking memory · 3.5 GBReserve · 0.8 GBSpills to system RAM · 1.0 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

Worth trying on NVIDIA GPUs: with an up-to-date ComfyUI, Dynamic VRAM (on by default for NVIDIA since March 2026) streams whatever does not fit from system RAM, and ComfyUI's own start-up message recommends native FP8/INT8 files over GGUF, saying they “will be faster even if they are larger than your memory”. So before settling for a heavily compressed GGUF, try the native FP8 file (15.7 GB). The file recommended above is the best one that fits entirely — the safe choice on older ComfyUI versions, AMD and Intel. Comfy blog: Dynamic VRAM →

01What to download

PartFileFolderSize
ModelLTXV-13B-0.9.8-dev-Q2_K.gguf
Q2_K · QuantStack/LTXV-13B-0.9.8-dev-GGUF
models/unet4.7 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 disk12.4 GB

Alternatives: T5-XXL FP16 (9.8 GB). The 16-bit text encoder is a little more faithful; the smaller one is chosen here because it loads faster and needs less RAM. 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.

System RAM: 32 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 12.4 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 18.4 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated

02Every file, on 8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Lightricks
28.6 GB32.9 GB24.9 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · QuantStack
14.0 GB18.3 GB10.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Lightricks
15.7 GB20.0 GB12.0 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
10.9 GB15.2 GB7.2 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
9.8 GB14.1 GB6.1 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
8.8 GB13.1 GB5.1 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · QuantStack
6.5 GB10.8 GB2.8 GB too bignoticeable loss of detailHugging Face →
Q2_K ←
GGUF · QuantStack
4.7 GB9.0 GBspills 1.0 GBheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 3.5 GB working memory for this model + 0.8 GB kept free for the system.

03The text encoder

T5-XXL: 9.8 GB as 16-bit, 4.9 GB as FP8, 2.9 GB as GGUF Q4_K_M (plus CLIP-L (0.25 GB)). ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 8 GB the FP8 encoder fits on its own, so prompt encoding stays fast.