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Can the RTX 5080 16 GB run LTX-2.5 (22B)?

Not at full quality. The 16-bit and 8-bit files are too big for the RTX 5080 16 GB; the largest that fits is Q2_K (8.8 GB).

Video model · 22B16 GB GDDR7 · 256-bit · 960 GB/s · BlackwellData 2026-10-01
Tight
Only just.

Take Q2_K (8.8 GB). In use it comes to about 13.6 GB, with 2.4 GB left over on 16 GB. Quality: heavy loss; a last resort. For better quality, Q3_K_M (11.5 GB) also runs, with about 0.3 GB spilling into system RAM - a little slower, still practical.

Best fileQ2_K
File size8.8 GB
VRAM needed~13.6 GB
System RAM48 GB+
Memory map · RTX 5080 16 GB13.6 GB / 16 GB
08 GB16 GB
Weights Q2_K · 8.8 GBWorking memory · 4.0 GBReserve · 0.8 GBFree · 2.4 GB

01What 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

02Every LTX-2.5 file on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Lightricks
42.0 GB46.8 GB30.8 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · realrebelai
23.6 GB28.4 GB12.4 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · realrebelai
18.7 GB23.5 GB7.5 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · realrebelai
16.8 GB21.6 GB5.6 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · realrebelai
15.1 GB19.9 GB3.9 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · realrebelai
11.5 GB16.3 GBspills 0.3 GBnoticeable loss of detailHugging Face →
Q2_K ←
GGUF · realrebelai
8.8 GB13.6 GBfits · 2.4 GB spareheavy 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.

03The text encoder

At 15.4 GB even the smallest Gemma 4 12B (custom LTX-2.5 build) file is too big for 16 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 →

04Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run LTX-2.5 on a RTX 5080 16 GB, send your time per image and peak VRAM and it will appear here, credited.

05With more VRAM

With 32 GB you could run LTX-2.5 at 8-bit or better (Q8_0, 23.6 GB) with no offloading: for example on the RTX 5090 32 GB.

What changes from the RTX 5080 16 GB to the RTX 5090 32 GB →

06About the RTX 5080 16 GB

The RTX 5080 16 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still.

16 GB GDDR7 · 256-bit · 960 GB/s · Blackwell. Everything that runs on it →

07Questions

How much VRAM does LTX-2.5 need?

Around 13.6 GB with the smallest file (Q2_K) and 28.4 GB with an 8-bit file (Q8_0). The full 16-bit file needs about 46.8 GB.

Which LTX-2.5 file should I download for the RTX 5080 16 GB?

Q2_K (8.8 GB) from realrebelai/LTX-2.5_GGUFs. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

How much do I need to download for LTX-2.5 on the RTX 5080 16 GB?

26.0 GB: LTX-2.5-Distilled-Q2_K.gguf, gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors, ltx-2.5-video-vae-bf16.safetensors, ltx-2.5-audio-vae-bf16.safetensors.