This is a GGUF quantized version of LTX 2. unsloth/LTX 2 GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision. To use the model, read our guides for ComfyUI or stable diffusion.cpp. Uses tooling from ComfyUI GGUF by city96. LTX 2 Model Card This model card focuses on the LTX 2 model, as presented in the paper LTX 2: Efficient Joint Audio Visual Foundation Model. The codebase is available here. LTX 2 is a DiT based audio video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. Model Checkpoints Name Notes ltx 2 19b dev The full model, flexible and trainable in bf16 ltx 2 19b dev fp8 The full model in fp8 quantization ltx 2 19b dev fp4 The full model in nvfp4 quantization ltx 2 19b distilled The distilled version of the full model, 8 steps, CFG=1 ltx 2 19b distilled lora 384 A LoRA version of the distilled model applicable to the full model ltx 2 spatial upscaler x2 1.0 An x2 spatial upscaler for the ltx 2 latents, used in multi stage (multiscale) pipelin…
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