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LTX-2.5 (22B) on 12 GB of VRAM

Not entirely. Even Q2_K is 1.6 GB over 12 GB, so ComfyUI keeps part of it in system RAM. The July 2026 LTX, with a custom Gemma 4 12B text encoder. GGUF sizes differ a lot between uploaders because they mix precisions differently; figures here use realrebelai's distilled files.

Video model · 22BAny 12 GB GPUData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

Nothing fits entirely, but Q2_K (8.8 GB) overflows by only about 1.6 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.

Best fileQ2_K
File size8.8 GB
VRAM needed~13.6 GB
System RAM48 GB+
Memory map · 12 GB GPU13.6 GB needed · 1.6 GB over 12 GB
07 GB14 GB
Weights Q2_K · 8.8 GBWorking memory · 4.0 GBReserve · 0.8 GBSpills to system RAM · 1.6 GB

02Every file, on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Lightricks
42.0 GB46.8 GB34.8 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · realrebelai
23.6 GB28.4 GB16.4 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · realrebelai
18.7 GB23.5 GB11.5 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · realrebelai
16.8 GB21.6 GB9.6 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · realrebelai
15.1 GB19.9 GB7.9 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · realrebelai
11.5 GB16.3 GB4.3 GB too bignoticeable loss of detailHugging Face →
Q2_K ←
GGUF · realrebelai
8.8 GB13.6 GBspills 1.6 GBheavy loss; a last resortHugging Face →

“Needed” adds 4 GB of working memory for LTX-2.5 and a 0.8 GB reserve. Sizes 2026-10-01.

03What to download

PartFileFolderSize
ModelLTX-2.5-Distilled-Q2_K.gguf
Q2_K · realrebelai/LTX-2.5_GGUFs
models/unet8.8 GBDownload →
Text encodergemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors
Gemma 4 12B + LTX projection INT8 (convrot) · Lightricks/LTX-2.5
models/text_encoders15.4 GBDownload →
VAEltx-2.5-video-vae-bf16.safetensors
LTX-2.5 video VAE (DiffVAE) BF16 · Lightricks/LTX-2.5
models/vae1.5 GBDownload →
Also neededltx-2.5-audio-vae-bf16.safetensors
LTX-2.5 audio VAE + vocoder BF16 · Lightricks/LTX-2.5
models/vae0.4 GBDownload →
Total download · keep about the same free on disk26.0 GB

Alternatives: Gemma 4 12B + LTX projection BF16 (26.3 GB). Only for some workflows: LTX-2.5 latent spatial upscaler x2 (1.0 GB, official two-stage template); Gemma 4 E2B INT8 (prompt enhancer, optional) (5.2 GB, only if prompt enhancer enabled). Sizes from Hugging Face, 2026-10-01.

System RAM: 48 GB or more. These files take about 26.0 GB of RAM while loaded, 32.0 GB with Windows and ComfyUI. What happens with less. calculated

04The text encoder

At 15.4 GB even the smallest Gemma 4 12B (custom LTX-2.5 build) file is too big for 12 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 26.3 GB, INT8 15.4 GB. Why the encoder does not count against VRAM →