Update README.md

README.md

@@ -41,6 +41,22 @@ This repository provides quantized GGUF formats of the distilled transformer fro
 | **LTX-2.5-Distilled-Q6_K.gguf** | 18.7 GB | Near-unquantized visual quality, very low quantization loss. |
 | **LTX-2.5-Distilled-Q8_0.gguf** | 23.6 GB | Largest quantized footprint, nearly indistinguishable from the original bf16 weights. |
 
+## Required Supporting Components (Text Encoders & VAEs)
+
+LTX-2.5 operates on a split-component architecture. To run these GGUF diffusion models in environments like ComfyUI or local Python pipelines, you must also fetch the official Text Encoders and VAEs directly from the upstream [Lightricks/LTX-2.5 repository](https://huggingface.co/Lightricks/LTX-2.5).
+
+### Text Encoders
+Download these from the [`text_encoders` directory](https://huggingface.co/Lightricks/LTX-2.5/tree/main/text_encoders):
+
+* **`gemma4-12b-with-proj-ltx-2.5-bf16.safetensors`** (26.3 GB) — The full unquantized Gemma 4 12B text encoder.
+* **`gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors`** (15.4 GB) — An optimized INT8 text encoder specifically designed for lower VRAM usage in ComfyUI.
+
+### VAEs (Video & Audio)
+Download these from the [`vae` directory](https://huggingface.co/Lightricks/LTX-2.5/tree/main/vae):
+
+* **`ltx-2.5-video-vae-bf16.safetensors`** (1.47 GB) — The primary DiffVAE for highest-quality video decoding.
+* **`ltx-2.5-video-vae-conv-bf16.safetensors`** (1.45 GB) — Convolutional video VAE for faster, lighter processing.
+* **`ltx-2.5-audio-vae-bf16.safetensors`** (365 MB) — Audio VAE and vocoder required for synchronized audio generation.
 ## About the Original Model
 
 **LTX-2.5** is an open-world model built for local execution and fine-tuning. It specializes in generating synchronized, high-fidelity video and audio from text, image, and video inputs.