Run LTX 2.5 & LTX 2.3 in ComfyUI — Match Your VRAM, Fix Missing Files, Generate the Workflow

Stuck on a missing taeltx2_3.safetensors, an out-of-memory error, or the wrong checkpoint for your GPU? Pick a model family and your VRAM — LTX 2.5's gated Gemma 4 files need 24GB+ unless you use the GGUF path, LTX 2.3's FP8 fits 16GB — get the exact files you need, and generate a ready-to-import ComfyUI workflow JSON for LTX 2.3 in under 2 minutes. T2V, I2V, LoRA, and spatial upscaler all supported.

✓ LTX 2.5 & 2.3✓ VRAM Matched (16-32GB)✓ Direct Links✓ ComfyUI Ready

VRAM Adapter

Select a model family and your GPU VRAM to see recommended LTX models:

Download

Checkpoints for 16GB

LTX 2.5 Distilled GGUF Q3_K_S (Community)🔥 New16GB GGUF
LTX-2.5-Distilled-Q3_K_S.gguf
LTX 2.5 Distilled GGUF Q4_K_M (Community)🔥 NewRecommended GGUF
LTX-2.5-Distilled-Q4_K_M.gguf

Required & optional components

Gemma 4 12B with Projection BF16 (Text Encoder)🔥 NewRequired (32 GB+)
gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
Gemma 4 12B with Projection INT8 convrot (Text Encoder)🔥 NewRequired (24 GB+)
gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors
LTX 2.5 Video VAE BF16🔥 NewRequired
ltx-2.5-video-vae-bf16.safetensors

LTX 2.5 & LTX 2.3 Model Downloads

LTX 2.3 FP8 (16GB) and official distilled & dev (24–32GB), plus LTX 2.5's gated Gemma 4 + INT8 convrot files (24GB+) or the community GGUF path for 16GB.

LTX 2.3 ComfyUI Workflow JSON

Official workflow JSON files from Lightricks — T2V, I2V, two-stage upscaler, ICLoRA motion tracking. Drag into ComfyUI to load.

LTX 2.3 Workflow Configurator

LTX 2.3 only

Answer a few questions — we'll pick the right LTX 2.3 workflow, model files, and node settings for your GPU. Looking for LTX 2.5? See the LTX 2.5 setup guide instead — its official workflow files aren't verified yet, so this builder doesn't cover it.

⚠ RTX 30xx? The selected FP8 model needs RTX 40xx+ hardware. Use the int8_convrot variant (fastest on Ampere INT8 cores), or mxfp8_block32 / BF16 instead.

High+: 24 GB

Models for your GPU

Transformer · 768x512

ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors

Text encoder (Gemma 3 12B)

gemma_3_12B_it_fp4_mixed.safetensors

FP8 transformer (~25 GB) + FP4 Gemma (9.5 GB)

Recommended workflow

T2V / I2V Single Stage Distilled

Download JSON →

Standard I2V workflow — attach your image to LTXVImgToVideoConditioning. Generates video + synchronized audio in one pass.

!IMPORTANT: After loading the JSON, update LoraLoaderModelOnly → ltx-2.3-22b-distilled-lora-384-1.1.safetensors. The official JSON ships v1.0 refs — v1.0 LoRA on v1.1 base causes stiff motion and color drift.

Required files

  • ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors
  • taeltx2_3.safetensors
  • LTX23_audio_vae_bf16.safetensors
  • gemma_3_12B_it_fp4_mixed.safetensors
  • ltx-2.3-22b-distilled-lora-384-1.1.safetensors
Download models →

Node settings after loading the workflow

CheckpointLoaderSimpleckpt_name:ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors
LTXVAudioVAELoadermodel_name:LTX23_audio_vae_bf16.safetensors

Place in models/checkpoints/

LTXAVTextEncoderLoadermodel_name:gemma_3_12B_it_fp4_mixed.safetensors
LTXVImgToVideoConditioningimage:your-image.png

Drag your source image here

EmptyLTXVLatentVideowidth / height:768 / 512

Both must be divisible by 32

EmptyLTXVLatentVideolength:121

Must be 8n+1 (65, 97, 121…)

LTXVConditioningframe_rate:24
CFGGuidercfg:1

Keep at 1.0 — raising CFG doubles VRAM with no quality benefit

KSamplerSelectsampler_name:euler_ancestral_cfg_pp

Verified from official JSON

LoraLoaderModelOnlylora_name:ltx-2.3-22b-distilled-lora-384-1.1.safetensors

strength 0.5 — must be v1.1 (official JSON ships v1.0 by mistake)

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