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LTX-2 (19B) VRAM requirements

Lightricks' open audio+video model. Generates sound together with the picture. Its text encoder is Gemma 3 12B.

Released 2026-01Licence: LTX-2 Community License (commercial limits; check terms)Steps: 20–40Text encoder: Gemma 3 12B (13.2 GB as FP8)
TypeVideo
Parameters19B
Fits entirely from13 GB
8-bit or better from26 GB

01The files, and how much VRAM each needs

FileSizeNeededMin. VRAMQualitySource
16-bit37.8 GB42.6 GB43 GBthe original weightsunsloth/LTX-2-GGUF →
Q8_020.4 GB25.2 GB26 GBpractically identical to the originalunsloth/LTX-2-GGUF →
Q6_K16.0 GB20.8 GB21 GBvery close to the originalunsloth/LTX-2-GGUF →
Q5_K_M14.3 GB19.1 GB20 GBclose; small differences in fine detailunsloth/LTX-2-GGUF →
Q4_K_M12.8 GB17.6 GB18 GBgood; some loss in fine detail and textunsloth/LTX-2-GGUF →
Q3_K_M10.1 GB14.9 GB15 GBnoticeable loss of detailunsloth/LTX-2-GGUF →
Q2_K8.1 GB12.9 GB13 GBheavy loss; a last resortunsloth/LTX-2-GGUF →

“Needed” = file + 4 GB working memory + 0.8 GB system reserve.

03Best GPU for LTX-2

The cheapest cards (by launch price) that run it well, and every card sorted by memory: best GPU for LTX-2 → Planning bigger images or longer clips? Open the calculator →

04By graphics card

GPUVRAMVerdictBest fileNeeded
Desktop graphics cards
RTX 2060 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 3050 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 2070 Super 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 2080 Super 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3050 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3060 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3060 Ti 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3070 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3070 Ti 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 4060 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 4060 Ti 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5050 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5060 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5060 Ti 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 7600 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 9050 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 9060 XT 8 GB8 GBOffload onlyQ4_K_M17.6 GB
Arc B570 10 GB10 GBOffload onlyQ4_K_M17.6 GB
RTX 3080 10 GB10 GBOffload onlyQ4_K_M17.6 GB
RTX 2080 Ti 11 GB11 GBOffload onlyQ2_K12.9 GB
Arc B580 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 2060 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 3060 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 3080 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 3080 Ti 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 4070 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 4070 Super 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 4070 Ti 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 5070 12 GB12 GBOffload onlyQ2_K12.9 GB
RX 7700 XT 12 GB12 GBOffload onlyQ2_K12.9 GB
RX 9070 GRE 12 GB12 GBOffload onlyQ2_K12.9 GB
Arc A770 16 GB16 GBTightQ3_K_M14.9 GB
RTX 4060 Ti 16 GB16 GBTightQ3_K_M14.9 GB
RTX 4070 Ti Super 16 GB16 GBTightQ3_K_M14.9 GB
RTX 4080 16 GB16 GBTightQ3_K_M14.9 GB
RTX 4080 Super 16 GB16 GBTightQ3_K_M14.9 GB
RTX 5060 Ti 16 GB16 GBTightQ3_K_M14.9 GB
RTX 5070 Ti 16 GB16 GBTightQ3_K_M14.9 GB
RTX 5080 16 GB16 GBTightQ3_K_M14.9 GB
RX 7600 XT 16 GB16 GBTightQ3_K_M14.9 GB
RX 7800 XT 16 GB16 GBTightQ3_K_M14.9 GB
RX 7900 GRE 16 GB16 GBTightQ3_K_M14.9 GB
RX 9060 XT 16 GB16 GBTightQ3_K_M14.9 GB
RX 9070 16 GB16 GBTightQ3_K_M14.9 GB
RX 9070 XT 16 GB16 GBTightQ3_K_M14.9 GB
RX 7900 XT 20 GB20 GBRunsQ5_K_M19.1 GB
Arc Pro B60 24 GB24 GBRunsQ6_K20.8 GB
RTX 3090 24 GB24 GBRunsQ6_K20.8 GB
RTX 3090 Ti 24 GB24 GBRunsQ6_K20.8 GB
RTX 4090 24 GB24 GBRunsQ6_K20.8 GB
RX 7900 XTX 24 GB24 GBRunsQ6_K20.8 GB
Arc Pro B70 32 GB32 GBRuns wellQ8_025.2 GB
RTX 5090 32 GB32 GBRuns wellQ8_025.2 GB
Laptop GPUs
RTX 3050 Laptop 4 GB4 GBNot practicalQ2_K12.9 GB
RTX 3050 Ti Laptop 4 GB4 GBNot practicalQ2_K12.9 GB
RTX 2060 Laptop 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 3050 Laptop 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 3060 Laptop 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 4050 Laptop 6 GB6 GBNot practicalQ2_K12.9 GB
RTX 2070 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 2070 Super Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 2080 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 2080 Super Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3070 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3070 Ti Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 3080 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 4060 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 4070 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5050 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5060 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 5070 Laptop 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 7600M 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 7600M XT 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 7600S 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RX 7700S 8 GB8 GBOffload onlyQ4_K_M17.6 GB
RTX 4080 Laptop 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 5070 Laptop 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 5070 Ti Laptop 12 GB12 GBOffload onlyQ2_K12.9 GB
RX 7800M 12 GB12 GBOffload onlyQ2_K12.9 GB
RTX 3080 Laptop 16 GB16 GBTightQ3_K_M14.9 GB
RTX 3080 Ti Laptop 16 GB16 GBTightQ3_K_M14.9 GB
RTX 4090 Laptop 16 GB16 GBTightQ3_K_M14.9 GB
RTX 5080 Laptop 16 GB16 GBTightQ3_K_M14.9 GB
RX 7900M 16 GB16 GBTightQ3_K_M14.9 GB
RTX 5090 Laptop 24 GB24 GBRunsQ6_K20.8 GB
Unified memory
Radeon 8060S (Strix Halo) 96 GB96 GBRuns well16-bit42.6 GB
Radeon 8065S (Gorgon Halo) 160 GB160 GBRuns well16-bit42.6 GB
Apple Silicon Macs (by memory)
Mac 16 GB12.7 GBOffload onlyQ2_K12.9 GB
Mac 18 GB14.4 GBTightQ2_K12.9 GB
Mac 24 GB19.6 GBRunsQ5_K_M19.1 GB
Mac 32 GB26.8 GBRuns wellQ8_025.2 GB
Mac 36 GB30.2 GBRuns wellQ8_025.2 GB
Mac 48 GB40.2 GBRuns wellQ8_025.2 GB
Mac 64 GB55.7 GBRuns well16-bit42.6 GB
Mac 96 GB85 GBRuns well16-bit42.6 GB
Mac 128 GB115.4 GBRuns well16-bit42.6 GB
Mac 192 GB175.4 GBRuns well16-bit42.6 GB
Mac 256 GB236.9 GBRuns well16-bit42.6 GB
Mac 512 GB498.1 GBRuns well16-bit42.6 GB

05Text encoder, VAE and other files

FileFolderSizeWhen
Gemma 3 12B FP4 mixed
gemma_3_12B_it_fp4_mixed.safetensors
models/text_encoders9.4 GBtext encoder · smaller, recommendedDownload →
Gemma 3 12B FP8 (scaled)
gemma_3_12B_it_fp8_scaled.safetensors
models/text_encoders13.2 GBtext encoder · alternativeDownload →
Gemma 3 12B BF16
gemma_3_12B_it.safetensors
models/text_encoders24.4 GBtext encoder · alternativeDownload →
LTX-2 video VAE
ltx-2-19b-dev_video_vae.safetensors
models/vae2.4 GBwith GGUF files · GGUF / diffusion-model-only routeDownload →
LTX-2 audio VAE
ltx-2-19b-dev_audio_vae.safetensors
models/vae0.2 GBwith GGUF files · GGUF / diffusion-model-only routeDownload →
LTX-2 text embeddings connectors (projection)
ltx-2-19b-dev_embeddings_connectors.safetensors
models/text_encoders2.9 GBwith GGUF files · GGUF / diffusion-model-only routeDownload →
LTX-2 spatial upscaler x2
ltx-2-spatial-upscaler-x2-1.0.safetensors
models/latent_upscale_models1.0 GBoptional · official two-stage templateDownload →

The files the official ComfyUI workflows load next to the model. Sizes read from Hugging Face (2026-10-01).

06Where the files go in ComfyUI

FileFolderLoader node
Diffusion model (.safetensors: 16-bit, FP8, INT8)ComfyUI/models/diffusion_modelsLoad Diffusion Model
GGUF file (.gguf)ComfyUI/models/unetUnet Loader (GGUF) - from the ComfyUI-GGUF node pack
Text encoderComfyUI/models/text_encodersLoad CLIP / DualCLIPLoader (or the GGUF versions)
VAEComfyUI/models/vaeLoad VAE

07Measured and reported results

LabelGPUSetupResultPeak VRAMDateSource
reportedRadeon 8060S (Strix Halo) 96 GBLTX-2 BF16 (T2V) · 1280x720
“"workflow": "LTX2-T2V-BF16.json", ... "duration_seconds": 615.0017409324646”
kyuz0 Strix Halo toolbox benchmark; cold run incl. model load; resolution/frames from benchmark page; I2V = 616.16 s; steps not stated
615 s / clip (121 frames)—2026-02-13raw.githubusercontent.com →
reportedRTX 5090 32 GBLTX-2 19B NVFP4 · 720p
“generating 143 frames at 720p takes about 66 seconds end‑to‑end in ComfyUI”
Issue says this is ~30-40% slower than NVIDIA's expected 40-45 s; steps not stated
66 s / clip (143 frames)—2026-01-08github.com →

Other people's numbers are copied as published, with a link. Send yours.

08Training a LoRA for LTX-2

TrainerVRAMTypeSettings and quoteSource
SimpleTuner13 GBexample runField report: RamTorch offload incl. text encoder, 480p, 17 frames, batch 2, AMD 7900XTX; int8 no offload ~29-30 GB; bf16 no offload ~48 GB
“RamTorch (incl. text encoder): ~13 GB VRAM used on an AMD 7900XTX.”
github.com →
diffusion-pipe24 GBstated minimumOnly LTX-2.3 supported (T2I/T2V, no audio); blocks_to_swap 46 (max), low resolution, short video, low rank; 'might barely fit'
“with that, it might barely fit in 24GB VRAM if the resolution, video length, and LoRA rank are all low enough.”
github.com →
LTX-2 trainer (official, Lightricks)32 GBstated minimumt2v_lora_low_vram.yaml: INT8 (quanto) base, 8-bit text encoder, AdamW8bit, rank 16, batch 1, gradient checkpointing; 80GB+ for standard config
“For GPUs with 32GB VRAM (e.g., RTX 5090), use the low VRAM config”
github.com →

reported From each trainer's own docs, 2026-09-25. Why the figures differ →

09Every file tracked for LTX-2

FileTypeSizeRepo
ltx-2-19b-dev.safetensors (dev)16-bit43.29 GBLightricks/LTX-2 →
ltx-2-19b-distilled.safetensors (distilled)16-bit43.29 GBLightricks/LTX-2 →
ltx-2-19b-distilled-fp8.safetensors (distilled)FP827.08 GBLightricks/LTX-2 →
ltx-2-19b-dev-fp8.safetensors (dev)FP827.08 GBLightricks/LTX-2 →
ltx-2-19b-dev-fp4.safetensors (dev)FP419.99 GBLightricks/LTX-2 →
ltx-2-19b-dev-BF16.ggufBF1637.77 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-F16.ggufF1637.77 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q8_0.ggufQ8_020.41 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q6_K.ggufQ6_K15.97 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q5_1.ggufQ5_114.62 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q5_K_M.ggufQ5_K_M14.34 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q5_0.ggufQ5_013.66 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q5_K_S.ggufQ5_K_S13.62 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q4_K_M.ggufQ4_K_M12.84 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q4_1.ggufQ4_112.30 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q4_K_S.ggufQ4_K_S11.86 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q4_0.ggufQ4_011.35 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q3_K_L.ggufQ3_K_L10.72 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q3_K_M.ggufQ3_K_M10.12 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q3_K_S.ggufQ3_K_S9.47 GBunsloth/LTX-2-GGUF →
ltx-2-19b-dev-Q2_K.ggufQ2_K8.10 GBunsloth/LTX-2-GGUF →

Open weights (Jan 2026). Joint audio+video generation. Text encoder Gemma 3 12B (not fetched). GGUF transformer-only needs separate VAE/audio-VAE files (unsloth repo has vae/ and text_encoders/ folders).