Docs: update readme.

README.md

@@ -38,7 +38,7 @@ demo: https://app.ltx.studio/ltx-2-playground/i2v
 
 # LTX-2.3 FP8 Model Card
 
-This is the FP8 versions of the LTX-2.3 model. All information below is derived from the base model.
+**This is the FP8 versions of the LTX-2.3 model. All information below is derived from the base model.**
 
 This model card focuses on the LTX-2.3 model, which is a significant update to the [LTX-2 model](https://huggingface.co/Lightricks/LTX-2) with improved audio and visual quality as well as enhanced prompt adherence.
 LTX-2 was presented in the paper [LTX-2: Efficient Joint Audio-Visual Foundation Model](https://huggingface.co/papers/2601.03233).
@@ -47,7 +47,7 @@ LTX-2 was presented in the paper [LTX-2: Efficient Joint Audio-Visual Foundation
 
 LTX-2.3 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. 
 
-[![LTX-2 Open Source](ltx2.3-open.png)](https://youtu.be/o-7us-BR_gQ)
+[![LTX-2.3 Open Source](https://img.youtube.com/vi/o-7us-BR_gQ/maxresdefault.jpg)](https://youtu.be/o-7us-BR_gQ)
 
 # Model Checkpoints
 
@@ -112,11 +112,7 @@ LTX-2.3 support in the [Diffusers Python library](https://huggingface.co/docs/di
 
 # Train the model
 
-The base (dev) model is fully trainable.
-
-It's extremely easy to reproduce the LoRAs and IC-LoRAs we publish with the model by following the instructions on the [LTX-2 Trainer Readme](https://github.com/Lightricks/LTX-2/blob/main/packages/ltx-trainer/README.md).
-
-Training for motion, style or likeness (sound+appearance) can take less than an hour in many settings.
+Currently it is recommended to train the bf16 model. Recipes for training the fp8 model are welcome as community contributions.
 
 ## Citation