Datasheet for local AI49 models98 GPUsData read 2026-09-25
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LTX-2 (19B) on 24 GB of VRAM

Video model · 19BAny 24 GB GPUData 2026-09-25
Runs
Yes, with a compressed file.

Download Q6_K (16.0 GB). With the model's working memory it needs about 20.8 GB, leaving 3.2 GB spare on 24 GB. Quality: very close to the original. For better quality, Q8_0 (20.4 GB) also runs, with about 1.2 GB spilling into system RAM — a little slower, still practical.

Best fileQ6_K
File size16.0 GB
VRAM needed~20.8 GB
System RAM48 GB+
Memory map · 24 GB GPU20.8 GB / 24 GB
012 GB24 GB
Weights Q6_K · 16.0 GBWorking memory · 4.0 GBReserve · 0.8 GBFree · 3.2 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-Q6_K.gguf
Q6_K · unsloth/LTX-2-GGUF
models/unet16.0 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 disk34.7 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 34.7 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 40.7 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated

02Every file, on 24 GB

FileSizeNeededOn this cardQualityDownload
16-bit
GGUF · unsloth
37.8 GB42.6 GB18.6 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · unsloth
20.4 GB25.2 GBspills 1.2 GBpractically identical to the originalHugging Face →
Q6_K ←
GGUF · unsloth
16.0 GB20.8 GBfits · 3.2 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
14.3 GB19.1 GBfits · 4.9 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
12.8 GB17.6 GBfits · 6.4 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
10.1 GB14.9 GBfits · 9.1 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
8.1 GB12.9 GBfits · 11.1 GB spareheavy 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 24 GB the FP8 encoder fits on its own, so prompt encoding stays fast.