Model overview
GGUF quantizations of Lightricks' LTX-2.5, converted for efficient execution in tools like ComfyUI. Example video is rendered using **Q4_K_M** quantize variant. LTX-2.5 is an open-world model with open weights, built for local execution and fine-tuning. It natively generates synchronized, high-fidelity video and audio in a single pass from text, image, and video inputs. **Key Features of LTX-2.5:** Below is a reference guide for the approximate VRAM required to load the 22 Billion parameter LTX-2.5-Distilled model at various GGUF quantization levels. *Note: The sizes below refer specifically to the raw model weights loaded into memory. Generating video or high-resolution images will require an additional 4-8 GB of VRAM for the execution context, VAE, and text encoders depending on your ComfyUI configuration.*
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。