LTX Video 2B
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Lightweight 2B video generation model from Lightricks (v0.9.8). Available in dev, distilled, and FP8 variants. The distilled version generates video faster than real-time at lower resolutions. For best quality, use the 13B variant instead.
- 2B parameters — runs on consumer GPUs (12GB+)
- Dev, distilled, and FP8 variants available
- Distilled version: faster-than-real-time generation
- Frames must follow 8n+1 pattern (e.g., 25, 33, 41, 81, 161)
- For higher quality, see LTX Video 13B
Your hardware
Detecting...
Image Quality Benchmarks
Measured quality metrics for LTX Video 2B outputs.
How often humans prefer this model's output (0-100%)
Visual quality and composition rating (5-9 scale)
VRAM by Scenario
VRAM estimates at FP16 and FP8 precision. FP8 uses ~40% less memory with minimal quality loss. Grade shows how well each GPU handles the generation workload.
FP16 (full precision)
| Scenario | VRAM | RTX 4090 24GB | RTX 3060 12GB | RTX 4060 8GB | MacBook Pro M4 Pro 24GB |
|---|---|---|---|---|---|
| 512×512 · 25 frames | 13.9 GB | S● | D● | F● | A● |
| 768×512 · 25 frames | 12.0 GB | S● | B● | F● | S● |
| 768×512 · 100 frames | 12.0 GB | S● | B● | F● | S● |
| 1280×720 · 25 frames | 21.7 GB | A● | F● | F● | D● |
FP8 (quantized — ~40% less VRAM)
| Scenario | VRAM | RTX 4090 24GB | RTX 3060 12GB | RTX 4060 8GB | MacBook Pro M4 Pro 24GB |
|---|---|---|---|---|---|
| 512×512 · 25 frames | 12.0 GB | S | B | F | S |
| 768×512 · 25 frames | 14.1 GB | S | D | F | A |
| 768×512 · 100 frames | 20.4 GB | A | F | F | D |
| 1280×720 · 25 frames | 22.5 GB | B | F | F | D |
Optimization Tips
Turbo / LCM distillation
Use distilled scheduler at 4-8 steps for faster iteration
Run with Python
from diffusers import LTXPipeline
import torch
pipe = LTXPipeline.from_pretrained(
"Lightricks/LTX-Video",
torch_dtype=torch.float16
)
pipe.to("cuda")
frames = pipe(
prompt="your prompt here",
num_inference_steps=30,
guidance_scale=3.0,
num_frames=161,
).frames[0]
# Save frames or export as videoGet started
Setup instructions for running LTX Video 2B locally
1. Download the model
Get the checkpoint from HuggingFace
2. Place in:
ComfyUI/models/checkpoints/3. Launch ComfyUI
python main.pyMemory Breakdown
VRAM allocation for 25 frames at 768×512 on RTX 4090 24GB
Estimated Generation Time
25 frames at 768×512, 30 steps, FP16.
Sample Outputs
Available Formats & Downloads
Download LTX Video 2B in different precisions. Lower precision = less VRAM but slight quality loss.
LoRA Ecosystem
LimitedVery few LoRAs available. LTX Video's ecosystem is still early.
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Frequently asked questions
FAQ — LTX Video 2B
How much VRAM does LTX Video 2B need for video?
LTX Video 2B (2B parameters) requires approximately 12.0 GB of VRAM at FP16 precision for generating 25 frames at 768×512. Video generation typically requires more VRAM than image generation due to temporal attention layers.
Can I run LTX Video 2B on RTX 4090?
Yes, the RTX 4090 (24 GB VRAM) can run LTX Video 2B at FP16. Expected generation time is around ~1m 28s for a 25-frame clip.
How long does it take to generate a video with LTX Video 2B?
On a reference GPU (RTX 4090 24GB), LTX Video 2B generates a 25-frame video at 768×512 in approximately ~1m 28s at FP16 with 30 inference steps. Faster GPUs with higher memory bandwidth will reduce generation time.
What resolution and frame count does LTX Video 2B support?
LTX Video 2B supports up to 1280×720 resolution and 161 frames per generation at 24 FPS. Higher resolutions and frame counts require proportionally more VRAM.
About LTX Video 2B
See also