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

LTX-2 (19B) on 8 GB of VRAM

Video model · 19BAny 8 GB GPUData 2026-09-25
Offload
Not entirely in VRAM, but it can still run.

The smallest sensible file, Q4_K_M (12.8 GB), needs about 17.6 GB — 9.6 GB more than 8 GB GPU has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link — see the note below.

Best fileQ4_K_M
File size12.8 GB
VRAM needed~17.6 GB
System RAM48 GB+
Memory map · 8 GB GPU17.6 GB needed · 9.6 GB over 8 GB
09 GB18 GB
Weights Q4_K_M · 12.8 GBWorking memory · 4.0 GBReserve · 0.8 GBSpills to system RAM · 9.6 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

01What to download

PartFileFolderSize
Modelltx-2-19b-dev-Q4_K_M.gguf
Q4_K_M · unsloth/LTX-2-GGUF
models/unet12.8 GBDownload →
Text encodergemma_3_12B_it_fp8_scaled.safetensors
Gemma 3 12B FP8 (scaled) · Comfy-Org/ltx-2
models/text_encoders13.2 GBDownload →
VAEltx-2-19b-dev_video_vae.safetensors
LTX-2 video VAE · unsloth/LTX-2-GGUF
models/vae2.4 GBDownload →
Also neededltx-2-19b-dev_audio_vae.safetensors
LTX-2 audio VAE · unsloth/LTX-2-GGUF
models/vae0.2 GBDownload →
Also neededltx-2-19b-dev_embeddings_connectors.safetensors
LTX-2 text embeddings connectors (projection) · unsloth/LTX-2-GGUF
models/text_encoders2.9 GBDownload →
Total download · keep about the same free on disk31.6 GB

Alternatives: Gemma 3 12B FP4 mixed (9.4 GB); Gemma 3 12B BF16 (24.4 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. FP4 files are listed only as alternatives unless the GPU is an RTX 50 (Blackwell). Only for some workflows: LTX-2 spatial upscaler x2 (1.0 GB, official two-stage template). 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: 48 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 31.6 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 37.6 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
GGUF · unsloth
37.8 GB42.6 GB34.6 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · unsloth
20.4 GB25.2 GB17.2 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · unsloth
16.0 GB20.8 GB12.8 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
14.3 GB19.1 GB11.1 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M ←
GGUF · unsloth
12.8 GB17.6 GB9.6 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
10.1 GB14.9 GB6.9 GB too bignoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
8.1 GB12.9 GB4.9 GB too bigheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 4 GB working memory for this model + 0.8 GB kept free for the system.

03The text encoder

Gemma 3 12B: 24.4 GB as 16-bit, 13.2 GB as FP8, 9.4 GB as FP4 mixed. 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 encoder itself is too big for VRAM, so let it run from system RAM: slower prompt encoding, same images.