Repository
awesome-ltx2
A curated list of models, text encoders, and tools for the LTX-2 video generation suite. LTX-2: A New Chapter in Generative AI Prompting Guide for LTX-2 LTX-2 in ComfyUI Chattable · License unknown · Maintenance unknown
- License
- Unknown
- Ver
- Name
- Model
- Quant
- LTX-2.3
- Q2_K
Specs
- VerName
- VerName
- ModelQuant
- LTX-2.3Q2_K
- LTX-2.3Q3_K_M
- LTX-2.3Q3_K_S
- LTX-2.3Q4_K_M
- LTX-2.3Q4_K_S
- LTX-2.3Q5_K_M
- LTX-2.3Q5_K_S
- LTX-2.3Q6_K
- LTX-2.3Q8_0
- ModelQuant
- LTX-2-devQ2_K
- LTX-2-devQ3_K_M
- LTX-2-devQ3_K_S
- LTX-2-devQ4_K_M
- LTX-2-devQ4_K_S
- LTX-2-devQ5_K_M
- LTX-2-devQ5_K_S
- LTX-2-devQ6_K
- LTX-2-devQ8_0
- ModelQuant
- ltx-2.3-22bBF16
- ltx-2.3-22bF16
- ltx-2.3-22bQ2_K
- ltx-2.3-22bQ3_K_M
- ltx-2.3-22bQ3_K_S
- ltx-2.3-22bQ4_0
- ltx-2.3-22bQ4_1
- ltx-2.3-22bQ4_K_M
- ltx-2.3-22bQ4_K_S
- ltx-2.3-22bQ5_0
- ltx-2.3-22bQ5_1
- ltx-2.3-22bQ5_K_M
- ltx-2.3-22bQ5_K_S
- ltx-2.3-22bQ6_K
- ltx-2.3-22bQ8_0
- ModelQuant
- ltx-2-19b-devBF16
README
Awesome LTX-2
A curated list of models, text encoders, and tools for the LTX-2 video generation suite.
Intro
-
ComfyUI official blogpost
Models
LTX-2 models are available in various formats including full weights, transformers-only, and GGUF quantizations for efficient inference.
Checkpoints
- Lightricks/LTX-2 - Official repository.
- Lightricks/LTX-2.3 - Official repository (latest version).
- Drbaph - Quantization
| Ver | Name | Precision | Size | Download |
|---|---|---|---|---|
| 2.3 | ltx-2.3-22b dev |
bf16 | 46.1 GB | Lightricks |
| 2.3 | ltx-2.3-22b dev |
fp8 | 29.1 GB | Lightricks |
| 2.3 | ltx-2.3-22b distilled |
bf16 | 46.1 GB | Lightricks |
| 2.3 | ltx-2.3-22b dev |
fp8 | 29.9 GB | drbaph |
| 2.3 | ltx-2.3-22b distilled |
fp8 | 29.9 GB | drbaph |
| 2 | ltx-2-19b dev |
bf16 | 43.3 GB | Lightricks |
| 2 | ltx-2-19b dev |
fp8 | 27.1 GB | Lightricks |
| 2 | ltx-2-19b dev |
fp4 | 20 GB | Lightricks |
| 2 | ltx-2-19b distilled |
bf16 | 43.3 GB | Lightricks |
| 2 | ltx-2-19b distilled |
fp8 | 27.1 GB | Lightricks |
| 2 | ltx-2-19b distilled |
nvfp4 | 20 GB | szwagros |
Quantized to fp8_e5m2 to support older Triton with older Pytorch on 30 series GPUs. For WangGP in Pinokio
| Ver | Name | Precision | Size | Download |
|---|---|---|---|---|
| 2 | ltx-2-19b dev |
fp8_e5m2 | 27.1 GB | Lightricks |
Distilled LoRA
| Ver | Rank | Precision | Size | Download |
|---|---|---|---|---|
| 2.3 | 384 |
bf16 | 7.61 GB | Lightricks |
| 2.3 | 208 |
bf16 | 4.97 GB | drbaph |
| 2.3 | 159 |
bf16 | 3.83 GB | drbaph |
| 2.3 | 105 |
bf16 | 2.59 GB | Kijai |
| 2 | 384 |
bf16 | 7.67 GB | Lightricks |
| 2 | 242 |
bf16 | 4.88 GB | Lightricks |
| 2 | 175 |
bf16 | 3.58 GB | Lightricks |
| 2 | 175 |
fp8 | 1.79 GB | Lightricks |
Spatial Upscaler
Required for current two-stage pipeline implementations in this repository. Download to COMFYUI_ROOT_FOLDER/models/latent_upscale_models folder.
| Ver | Name | Size | Download |
|---|---|---|---|
| 2.3 | spatial-upscaler x2 1.0 |
996 MB | Lightricks |
| 2.3 | spatial-upscaler x1.5 1.0 |
1.09 GB | Lightricks |
| 2 | spatial-upscaler x2 1.0 |
1.05 GB | Lightricks |
Temporal Upscaler
Required for current two-stage pipeline implementations in this repository. Download to COMFYUI_ROOT_FOLDER/models/latent_upscale_models folder.
| Ver | Name | Size | Download |
|---|---|---|---|
| 2.3 | temporal-upscaler x2 1.0 |
262 MB | Lightricks |
| 2 | temporal-upscaler x2 1.0 |
262 MB | Lightricks |
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GGUF Quantized Models
These models are optimized for lower memory usage. Note that in ComfyUI, these are typically loaded as transformer-only models.
QuantStack
QuantStack LTX-2.3
| Model | Quant | Size | Download |
|---|---|---|---|
| LTX-2.3 | Q2_K | 12.4 GB | distilled |
| LTX-2.3 | Q3_K_M | 14.7 GB | distilled |
| LTX-2.3 | Q3_K_S | 14 GB | distilled |
| LTX-2.3 | Q4_K_M | 17.8 GB | distilled |
| LTX-2.3 | Q4_K_S | 16.7 GB | distilled |
| LTX-2.3 | Q5_K_M | 19.4 GB | distilled |
| LTX-2.3 | Q5_K_S | 18.5 GB | distilled |
| LTX-2.3 | Q6_K | 21 GB | distilled |
| LTX-2.3 | Q8_0 | 25.5 GB | distilled |
QuantStack LTX-2
| Model | Quant | Size | Download |
|---|---|---|---|
| LTX-2-dev | Q2_K | 8.03 GB | QuantStack |
| LTX-2-dev | Q3_K_M | 10.3 GB | QuantStack |
| LTX-2-dev | Q3_K_S | 9.57 GB | QuantStack |
| LTX-2-dev | Q4_K_M | 13.4 GB | QuantStack |
| LTX-2-dev | Q4_K_S | 12.3 GB | QuantStack |
| LTX-2-dev | Q5_K_M | 15 GB | QuantStack |
| LTX-2-dev | Q5_K_S | 14.2 GB | QuantStack |
| LTX-2-dev | Q6_K | 16.6 GB | QuantStack |
| LTX-2-dev | Q8_0 | 21.1 GB | QuantStack |
Unsloth
Unsloth LTX-2.3 GGUF
| Model | Quant | Size | Download |
|---|---|---|---|
| ltx-2.3-22b | BF16 | 38 GB | dev ┊ distilled |
| ltx-2.3-22b | F16 | 38 GB | dev ┊ distilled |
| ltx-2.3-22b | Q2_K | 7.59 GB | dev ┊ distilled |
| ltx-2.3-22b | Q3_K_M | 9.79 GB | dev ┊ distilled |
| ltx-2.3-22b | Q3_K_S | 9.08 GB | dev ┊ distilled |
| ltx-2.3-22b | Q4_0 | 11.5 GB | dev ┊ distilled |
| ltx-2.3-22b | Q4_1 | 12.5 GB | dev ┊ distilled |
| ltx-2.3-22b | Q4_K_M | 13 GB | dev ┊ distilled |
| ltx-2.3-22b | Q4_K_S | 11.9 GB | dev ┊ distilled |
| ltx-2.3-22b | Q5_0 | 13.9 GB | dev ┊ distilled |
| ltx-2.3-22b | Q5_1 | 14.8 GB | dev ┊ distilled |
| ltx-2.3-22b | Q5_K_M | 14.6 GB | dev ┊ distilled |
| ltx-2.3-22b | Q5_K_S | 13.9 GB | dev ┊ distilled |
| ltx-2.3-22b | Q6_K | 16.1 GB | dev ┊ distilled |
| ltx-2.3-22b | Q8_0 | 20.6 GB | dev ┊ distilled |
Unsloth LTX-2 GGUF
| Model | Quant | Size | Download |
|---|---|---|---|
| ltx-2-19b-dev | BF16 | 37.8 GB | Unsloth |
| ltx-2-19b-dev | F16 | 37.8 GB | Unsloth |
| ltx-2-19b-dev | UD-Q2_K_L | 10.1 GB | Unsloth |
| ltx-2-19b-dev | UD-Q2_K_XL | 11.6 GB | Unsloth |
| ltx-2-19b-dev | Q2_K | 8.1 GB | Unsloth |
| ltx-2-19b-dev | Q3_K_L | 10.7 GB | Unsloth |
| ltx-2-19b-dev | Q3_K_M | 10.1 GB | Unsloth |
| ltx-2-19b-dev | Q3_K_S | 9.47 GB | Unsloth |
| ltx-2-19b-dev | Q4_0 | 11.3 GB | Unsloth |
| ltx-2-19b-dev | Q4_1 | 12.3 GB | Unsloth |
| ltx-2-19b-dev | Q4_K_M | 12.8 GB | Unsloth |
| ltx-2-19b-dev | Q4_K_S | 11.9 GB | Unsloth |
| ltx-2-19b-dev | Q5_0 | 13.7 GB | Unsloth |
| ltx-2-19b-dev | Q5_1 | 14.6 GB | Unsloth |
| ltx-2-19b-dev | Q5_K_M | 14.3 GB | Unsloth |
| ltx-2-19b-dev | Q5_K_S | 13.6 GB | Unsloth |
| ltx-2-19b-dev | Q6_K | 16 GB | Unsloth |
| ltx-2-19b-dev | Q8_0 | 20.4 GB | Unsloth |
Vantage
Vantage AI GGUFs
| Model | Quant | Size | Download |
|---|---|---|---|
| ltx-2-19b-dev | Q3_K_M | 9.96 GB | Download |
| ltx-2-19b-dev | Q3_K_S | 9.28 GB | Download |
| ltx-2-19b-dev | Q4_0 | 11.6 GB | Download |
| ltx-2-19b-dev | Q4_1 | 12.4 GB | Download |
| ltx-2-19b-dev | Q4_K_M | 12.8 GB | Download |
| ltx-2-19b-dev | Q4_K_S | 11.8 GB | Download |
| ltx-2-19b-dev | Q5_0 | 13.6 GB | Download |
| ltx-2-19b-dev | Q5_1 | 14.5 GB | Download |
| ltx-2-19b-dev | Q5_K_M | 14.4 GB | Download |
| ltx-2-19b-dev | Q5_K_S | 13.5 GB | Download |
| ltx-2-19b-dev | Q6_K | 15.9 GB | Download |
| ltx-2-19b-dev | Q8_0 | 20.4 GB | Download |
| ltx-2-19b-distilled | Q3_K_M | 9.96 GB | Download |
| ltx-2-19b-distilled | Q3_K_S | 9.28 GB | Download |
| ltx-2-19b-distilled | Q4_0 | 11.6 GB | Download |
| ltx-2-19b-distilled | Q4_1 | 12.4 GB | Download |
| ltx-2-19b-distilled | Q4_K_M | 12.8 GB | Download |
| ltx-2-19b-distilled | Q4_K_S | 11.8 GB | Download |
| ltx-2-19b-distilled | Q5_0 | 13.6 GB | Download |
| ltx-2-19b-distilled | Q5_1 | 14.5 GB | Download |
| ltx-2-19b-distilled | Q5_K_M | 14.4 GB | Download |
| ltx-2-19b-distilled | Q5_K_S | 13.5 GB | Download |
| ltx-2-19b-distilled | Q6_K | 15.9 GB | Download |
| ltx-2-19b-distilled | Q8_0 | 20.4 GB | Download |
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Text Encoders
LTX-2 requires Gemma-3-12b variants. LTX-2.3 uses text projection layers.
Comfy-Org Optimized Encoders
Official and optimized versions for ComfyUI.
| Model Name | Size | Download |
|---|---|---|
gemma_3_12B_it |
24.4 GB | ComfyUI |
gemma_3_12B_it_fpmixed |
13.7 GB | ComfyUI |
gemma_3_12B_it_fp8_scaled |
13.2 GB | ComfyUI |
gemma_3_12B_it_fp4_mixed |
9.5 GB | ComfyUI |
gemma_3_12B_it_fpmixed: Experimental quant. Should be better than the fp8 scaledgemma_3_12B_it_fp4_mixed: 90% fp4 layers
Gemma-3-12b Abliterated
Why Choose Abliterated Encoders?
Standard Gemma models often incorporate safety alignment that "sanitizes" or weakens specific concepts within prompt embeddings. Even when the model doesn't explicitly refuse a request, this internal filtering can dilute creative intent. For LTX-2 video generation, using a standard encoder often results in:
- Reduced Prompt Adherence: Key stylistic or descriptive terms may be ignored or weakened.
- Visual Softening: Visual intensity and fine details are often "muted" to fit generic safety profiles.
- Concept Dilution: Complex or niche creative requests are subtly altered, leading to less faithful representations of your vision.
Abliteration bypasses these restrictive alignment layers, allowing the encoder to translate your prompts into embeddings with maximum fidelity. This ensures LTX-2 receives the most accurate and un-filtered instructions possible.
Gemma-3-12b-Abliterated
Fixed versions of the abliterated Gemma-3-12b-it model by FusionCow, modified specifically for compatibility with LTX-2. The original model
| Model | Precision | Size | Download |
|---|---|---|---|
Gemma ablit fixed |
bf16 | 23.5 GB | FusionCow |
Gemma ablit fixed |
fp8 | 13.8 GB | FusionCow |
Gemma 3 12B IT Heretic
Models by DreamFast
Safetensors
| Model | Precision | Size | Download |
|---|---|---|---|
Gemma_3_12B_it Heretic |
bf16 | 23.5 GB | DreamFast |
Gemma_3_12B_it Heretic |
fp8 | 12.8 GB | DreamFast |
GGUF
| Quant | Size | Quality | Recommendation | Download |
|---|---|---|---|---|
F16 |
22GB | Lossless | Reference, same as original | DreamFast |
Q8_0 |
12GB | Excellent | Best quality quantization | DreamFast |
Q6_K |
9.0GB | Very Good | High quality, good compression | DreamFast |
Q5_K_M |
7.9GB | Good | Balanced quality/size | DreamFast |
Q5_K_S |
7.7GB | Good | Slightly smaller Q5 | DreamFast |
Q4_K_M |
6.8GB | Good | Still useful | DreamFast |
Q4_K_S |
6.5GB | Decent | Smaller Q4 variant | DreamFast |
Q3_K_M |
5.6GB | Acceptable | For very low VRAM only | DreamFast |
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Separated Components
Separated LTX2 checkpoint by Kijai and Kijai for LTX-2.3. For alternative way to load the models in Comfy.
Diffusion Models (Transformer Only)
| Ver | Name | Precision | Size | Download |
|---|---|---|---|---|
| 2.3 | ltx-2.3-22b dev |
bf16 | 42 GB | Kijai |
| 2.3 | ltx-2.3-22b dev |
fp8 | 23.5 GB | Kijai |
| 2.3 | ltx-2.3-22b distilled |
bf16 | 42 GB | Kijai |
| 2.3 | ltx-2.3-22b distilled |
fp8 input scaled | 23.5 GB | Kijai |
| 2.3 | ltx-2.3-22b distilled |
fp8 input scaled v2 | 23.2 GB | Kijai |
| 2.3 | ltx-2.3-22b distilled |
fp8 | 23.5 GB | Kijai |
| 2 | ltx-2-19b dev |
bf16 | 37.8 GB | Kijai |
| 2 | ltx-2-19b dev |
fp8 | 21.6 GB | Kijai |
| 2 | ltx-2-19b dev |
fp4 | 14.5 GB | Kijai |
| 2 | ltx-2-19b distilled |
bf16 | 37.8 GB | Kijai |
| 2 | ltx-2-19b distilled |
fp8 | 21.6 GB | Kijai |
[!NOTE]
input_scaled additionally have activation scaling, and are set to run with fp8 matmuls on supported hardware (roughly 40xx and later Nvidia GPUs).
VAE (Video & Audio)
| Ver | Component | Precision | Size | Download |
|---|---|---|---|---|
| 2.3 | Video VAE |
BF16 | 1.45 GB | Kijai ┊ Unsloth |
| 2.3 | Audio VAE |
BF16 | 365 MB | Kijai ┊ Unsloth |
| 2 | Video VAE |
BF16 | 2.45 GB | Kijai |
| 2 | Audio VAE |
BF16 | 218 MB | Kijai |
Embedding Connectors & Text Projection
| Ver | Name | Precision | Size | Download |
|---|---|---|---|---|
| 2.3 | Embeddings Connectors dev |
bf16 | 2.31 GB | Kijai ┊ Unsloth |
| 2.3 | Embeddings Connectors distilled |
bf16 | 2.31 GB | Unsloth |
| 2 | Connector dev |
bf16 | 2.86 GB | Kijai |
| 2 | Connector distilled |
bf16 | 2.86 GB | Kijai |
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LoRA
Enchancer, special
- JUST-DUB-IT
- Best-Face-Swap-Video
- Image-to-Video Adapter LoRA
- Lightricks LTX-2.3
Union Control(654 MB)Motion Track Control(327 MB)- Motion Track Control
- Lightricks LTX-2
Styles
- LTX-2-19b-LoRA-SPROUT
- Hydraulic press
- Cakeify
- Big Anime Breasts
- Clay Stop Motion
- Eat
- Outfit Switch
- Handheld run
- Atomic Explosion
- Squish
- IC luminance map
- Yoshiaki Kawajiri Retro Anime
- DonaldTrump
- WHATUSEE
- Squish – One Hand Only
- Black Venom
- HERO CAM
- Animatediff V1
- PUSH TO GLASS
- Object POV
- Group Photo
- EarthZoomOut
- Lightricks
Camera Control: dolly-inCamera Control: dolly-leftCamera Control: dolly-outCamera Control: dolly-rightCamera Control: jib-downCamera Control: jib-upCamera Control: staticUnion-Control
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Workflow & Technical Notes
Lightricks official WF:
Text to video full modelText to video distilled model (Fast)Image to video full modelImage to video distilled model (Fast)Video to video detailerIC-LoRA distilled model (depth + human pose + edges)
ComfyUI official WF:
- Text-to-video
- Text-to-video Distilled (faster, 8 steps)
- Image-to-video
- Image-to-video Distilled (faster, 8 steps)
- Depth control
- Canny control
- Pose control
RuneXX LTX-2.3 Workflows:
| Workflow |
|---|
| FL2V First Last Frame Injection |
| FML2V First Middle Last Frame Injection |
| I2V T2V Basic |
| I2V T2V Basic Custom Audio |
| I2V T2V Basic GGUF |
| T2V Basic |
RuneXX LTX-2 Workflows old pre_feb2026