ltx2.3 train

2026-03-18 22:08:13 +00:00 · 2026-03-06 18:08:42 +08:00
parent c9c2561791
commit d40efe897f
13 changed files with 346 additions and 8 deletions
--- a/README.md
+++ b/README.md
@@ -705,7 +705,7 @@ Example code for LTX-2 is available at: [/examples/ltx2/](/examples/ltx2/)

 | Model ID | Extra Args | Inference | Low-VRAM Inference | Full Training | Full Training Validation | LoRA Training | LoRA Training Validation |
 |-|-|-|-|-|-|-|-|
-|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|-|-|-|-|
+|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|[code](examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh)|[code](examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py)|[code](examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh)|[code](examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py)|
 |[Lightricks/LTX-2.3: TwoStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-TwoStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-TwoStage.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: DistilledPipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-DistilledPipeline.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-DistilledPipeline.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: OneStagePipeline-T2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)||[code](/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-T2AV-OneStage.py)|-|-|-|-|
--- a/README_zh.md
+++ b/README_zh.md
@@ -705,7 +705,7 @@ LTX-2 的示例代码位于：[/examples/ltx2/](/examples/ltx2/)

 |模型 ID|额外参数|推理|低显存推理|全量训练|全量训练后验证|LoRA 训练|LoRA 训练后验证|
 |-|-|-|-|-|-|-|-|
-|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|-|-|-|-|
+|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|[code](examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh)|[code](examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py)|[code](examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh)|[code](examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py)|
 |[Lightricks/LTX-2.3: TwoStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-TwoStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-TwoStage.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: DistilledPipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](/examples/ltx2/model_inference/LTX-2.3-I2AV-DistilledPipeline.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-DistilledPipeline.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: OneStagePipeline-T2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)||[code](/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py)|[code](/examples/ltx2/model_inference_low_vram/LTX-2.3-T2AV-OneStage.py)|-|-|-|-|
--- a/diffsynth/configs/model_configs.py
+++ b/diffsynth/configs/model_configs.py
@@ -778,6 +778,59 @@ ltx2_series = [
        "model_class": "diffsynth.models.ltx2_upsampler.LTX2LatentUpsampler",
        "extra_kwargs": {"rational_resampler": False},
    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="transformer.safetensors")
+        "model_hash": "1c55afad76ed33c112a2978550b524d1",
+        "model_name": "ltx2_dit",
+        "model_class": "diffsynth.models.ltx2_dit.LTXModel",
+        "extra_kwargs": {"apply_gated_attention": True, "cross_attention_adaln": True, "caption_channels": None},
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_dit.LTXModelStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="video_vae_encoder.safetensors")
+        "model_hash": "eecdc07c2ec30863b8a2b8b2134036cf",
+        "model_name": "ltx2_video_vae_encoder",
+        "model_class": "diffsynth.models.ltx2_video_vae.LTX2VideoEncoder",
+        "extra_kwargs": {"encoder_version": "ltx-2.3"},
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_video_vae.LTX2VideoEncoderStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="video_vae_decoder.safetensors")
+        "model_hash": "deda2f542e17ee25bc8c38fd605316ea",
+        "model_name": "ltx2_video_vae_decoder",
+        "model_class": "diffsynth.models.ltx2_video_vae.LTX2VideoDecoder",
+        "extra_kwargs": {"decoder_version": "ltx-2.3"},
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_video_vae.LTX2VideoDecoderStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vocoder.safetensors")
+        "model_hash": "7d7823dde8f1ea0b50fb07ac329dd4cb",
+        "model_name": "ltx2_audio_vae_decoder",
+        "model_class": "diffsynth.models.ltx2_audio_vae.LTX2AudioDecoder",
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_audio_vae.LTX2AudioDecoderStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vae_encoder.safetensors")
+        "model_hash": "29338f3b95e7e312a3460a482e4f4554",
+        "model_name": "ltx2_audio_vae_encoder",
+        "model_class": "diffsynth.models.ltx2_audio_vae.LTX2AudioEncoder",
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_audio_vae.LTX2AudioEncoderStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vocoder.safetensors")
+        "model_hash": "cd436c99e69ec5c80f050f0944f02a15",
+        "model_name": "ltx2_audio_vocoder",
+        "model_class": "diffsynth.models.ltx2_audio_vae.LTX2VocoderWithBWE",
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_audio_vae.LTX2VocoderStateDictConverter",
+    },
+    {
+        # Example: ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="text_encoder_post_modules.safetensors")
+        "model_hash": "05da2aab1c4b061f72c426311c165a43",
+        "model_name": "ltx2_text_encoder_post_modules",
+        "model_class": "diffsynth.models.ltx2_text_encoder.LTX2TextEncoderPostModules",
+        "extra_kwargs": {"separated_audio_video": True, "embedding_dim_gemma": 3840, "num_layers_gemma": 49, "video_attention_heads": 32, "video_attention_head_dim": 128, "audio_attention_heads": 32, "audio_attention_head_dim": 64, "num_connector_layers": 8, "apply_gated_attention": True},
+        "state_dict_converter": "diffsynth.utils.state_dict_converters.ltx2_text_encoder.LTX2TextEncoderPostModulesStateDictConverter",
+    },
 ]
 anima_series = [
    {
--- a/diffsynth/utils/state_dict_converters/ltx2_audio_vae.py
+++ b/diffsynth/utils/state_dict_converters/ltx2_audio_vae.py
@@ -27,7 +27,6 @@ def LTX2VocoderStateDictConverter(state_dict):
    state_dict_ = {}
    for name in state_dict:
        if name.startswith("vocoder."):
-            # new_name = name.replace("vocoder.", "")
            new_name = name[len("vocoder."):]
            state_dict_[new_name] = state_dict[name]
    return state_dict_
--- a/docs/en/Model_Details/LTX-2.md
+++ b/docs/en/Model_Details/LTX-2.md
@@ -111,7 +111,7 @@ write_video_audio_ltx2(
 ## Model Overview
 |Model ID|Additional Parameters|Inference|Low VRAM Inference|Full Training|Validation After Full Training|LoRA Training|Validation After LoRA Training|
 |-|-|-|-|-|-|-|-|
-|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|-|-|-|-|
+|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py)|
 |[Lightricks/LTX-2.3: TwoStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-TwoStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-TwoStage.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: DistilledPipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-DistilledPipeline.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-DistilledPipeline.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: OneStagePipeline-T2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)||[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-T2AV-OneStage.py)|-|-|-|-|
--- a/docs/zh/Model_Details/LTX-2.md
+++ b/docs/zh/Model_Details/LTX-2.md
@@ -111,7 +111,7 @@ write_video_audio_ltx2(
 ## 模型总览
 |模型 ID|额外参数|推理|低显存推理|全量训练|全量训练后验证|LoRA 训练|LoRA 训练后验证|
 |-|-|-|-|-|-|-|-|
-|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|-|-|-|-|
+|[Lightricks/LTX-2.3: OneStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py)|
 |[Lightricks/LTX-2.3: TwoStagePipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-TwoStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-TwoStage.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: DistilledPipeline-I2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)|`input_images`|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-I2AV-DistilledPipeline.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-I2AV-DistilledPipeline.py)|-|-|-|-|
 |[Lightricks/LTX-2.3: OneStagePipeline-T2AV](https://www.modelscope.cn/models/Lightricks/LTX-2.3)||[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/ltx2/model_inference_low_vram/LTX-2.3-T2AV-OneStage.py)|-|-|-|-|
--- a/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py
+++ b/examples/ltx2/model_inference/LTX-2.3-T2AV-OneStage.py
@@ -12,15 +12,30 @@ vram_config = {
    "computation_dtype": torch.bfloat16,
    "computation_device": "cuda",
 }
+# use the repackaged modelconfig from "DiffSynth-Studio/LTX-2.3-Repackage" to avoid redundant model loading
 pipe = LTX2AudioVideoPipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized", origin_file_pattern="model-*.safetensors", **vram_config),
-        ModelConfig(model_id="Lightricks/LTX-2.3", origin_file_pattern="ltx-2.3-22b-dev.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="transformer.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="text_encoder_post_modules.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="video_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vocoder.safetensors", **vram_config),
    ],
    tokenizer_config=ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized"),
 )
+# use the following modelconfig if you want to initialize model from offical checkpoints from "Lightricks/LTX-2.3"
+# pipe = LTX2AudioVideoPipeline.from_pretrained(
+#     torch_dtype=torch.bfloat16,
+#     device="cuda",
+#     model_configs=[
+#         ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized", origin_file_pattern="model-*.safetensors", **vram_config),
+#         ModelConfig(model_id="Lightricks/LTX-2.3", origin_file_pattern="ltx-2.3-22b-dev.safetensors", **vram_config),
+#     ],
+#     tokenizer_config=ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized"),
+# )
 prompt = "A girl is very happy, she is speaking: “I enjoy working with Diffsynth-Studio, it's a perfect framework.”"
 negative_prompt = "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."
 height, width, num_frames = 512, 768, 121
--- a/examples/ltx2/model_training/full/LTX-2-T2AV-splited.sh
+++ b/examples/ltx2/model_training/full/LTX-2-T2AV-splited.sh
@@ -9,7 +9,7 @@ accelerate launch examples/ltx2/model_training/train.py \
  --num_frames 121 \
  --dataset_repeat 1 \
  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2-Repackage:text_encoder_post_modules.safetensors,DiffSynth-Studio/LTX-2-Repackage:video_vae_encoder.safetensors,DiffSynth-Studio/LTX-2-Repackage:audio_vae_encoder.safetensors,google/gemma-3-12b-it-qat-q4_0-unquantized:model-*.safetensors" \
-  --learning_rate 1e-4 \
+  --learning_rate 1e-5 \
  --num_epochs 5 \
  --remove_prefix_in_ckpt "pipe.dit." \
  --output_path "./models/train/LTX2-T2AV-full-splited-cache" \
@@ -26,7 +26,7 @@ accelerate launch --config_file examples/qwen_image/model_training/full/accelera
  --num_frames 121 \
  --dataset_repeat 100 \
  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2-Repackage:transformer.safetensors" \
-  --learning_rate 1e-4 \
+  --learning_rate 1e-5 \
  --num_epochs 5 \
  --remove_prefix_in_ckpt "pipe.dit." \
  --output_path "./models/train/LTX2-T2AV-full" \
--- a/examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh
+++ b/examples/ltx2/model_training/full/LTX-2.3-T2AV-splited.sh
@@ -0,0 +1,35 @@
+# Splited Training
+accelerate launch examples/ltx2/model_training/train.py \
+  --dataset_base_path data/example_video_dataset/ltx2 \
+  --dataset_metadata_path data/example_video_dataset/ltx2_t2av.csv \
+  --data_file_keys "video,input_audio" \
+  --extra_inputs "input_audio" \
+  --height 512 \
+  --width 768 \
+  --num_frames 121 \
+  --dataset_repeat 1 \
+  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2.3-Repackage:text_encoder_post_modules.safetensors,DiffSynth-Studio/LTX-2.3-Repackage:video_vae_encoder.safetensors,DiffSynth-Studio/LTX-2.3-Repackage:audio_vae_encoder.safetensors,google/gemma-3-12b-it-qat-q4_0-unquantized:model-*.safetensors" \
+  --learning_rate 1e-5 \
+  --num_epochs 5 \
+  --remove_prefix_in_ckpt "pipe.dit." \
+  --output_path "./models/train/LTX2.3-T2AV-full-splited-cache" \
+  --trainable_models "dit" \
+  --use_gradient_checkpointing \
+  --task "sft:data_process"
+
+accelerate launch --config_file examples/qwen_image/model_training/full/accelerate_config_zero2offload.yaml examples/ltx2/model_training/train.py \
+  --dataset_base_path ./models/train/LTX2.3-T2AV-full-splited-cache \
+  --data_file_keys "video,input_audio" \
+  --extra_inputs "input_audio" \
+  --height 512 \
+  --width 768 \
+  --num_frames 121 \
+  --dataset_repeat 100 \
+  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2.3-Repackage:transformer.safetensors" \
+  --learning_rate 1e-5 \
+  --num_epochs 5 \
+  --remove_prefix_in_ckpt "pipe.dit." \
+  --output_path "./models/train/LTX2.3-T2AV-full" \
+  --trainable_models "dit" \
+  --use_gradient_checkpointing \
+  --task "sft:train"
--- a/examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh
+++ b/examples/ltx2/model_training/lora/LTX-2.3-T2AV-splited.sh
@@ -0,0 +1,39 @@
+# Splited Training
+accelerate launch examples/ltx2/model_training/train.py \
+  --dataset_base_path data/example_video_dataset/ltx2 \
+  --dataset_metadata_path data/example_video_dataset/ltx2_t2av.csv \
+  --data_file_keys "video,input_audio" \
+  --extra_inputs "input_audio" \
+  --height 512 \
+  --width 768 \
+  --num_frames 121 \
+  --dataset_repeat 1 \
+  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2.3-Repackage:text_encoder_post_modules.safetensors,DiffSynth-Studio/LTX-2.3-Repackage:video_vae_encoder.safetensors,DiffSynth-Studio/LTX-2.3-Repackage:audio_vae_encoder.safetensors,google/gemma-3-12b-it-qat-q4_0-unquantized:model-*.safetensors" \
+  --learning_rate 1e-4 \
+  --num_epochs 5 \
+  --remove_prefix_in_ckpt "pipe.dit." \
+  --output_path "./models/train/LTX2.3-T2AV_lora-splited-cache" \
+  --lora_base_model "dit" \
+  --lora_target_modules "to_k,to_q,to_v,to_out.0" \
+  --lora_rank 32 \
+  --use_gradient_checkpointing \
+  --task "sft:data_process"
+
+accelerate launch examples/ltx2/model_training/train.py \
+  --dataset_base_path ./models/train/LTX2.3-T2AV_lora-splited-cache \
+  --data_file_keys "video,input_audio" \
+  --extra_inputs "input_audio" \
+  --height 512 \
+  --width 768 \
+  --num_frames 121 \
+  --dataset_repeat 100 \
+  --model_id_with_origin_paths "DiffSynth-Studio/LTX-2.3-Repackage:transformer.safetensors" \
+  --learning_rate 1e-4 \
+  --num_epochs 5 \
+  --remove_prefix_in_ckpt "pipe.dit." \
+  --output_path "./models/train/LTX2.3-T2AV_lora" \
+  --lora_base_model "dit" \
+  --lora_target_modules "to_k,to_q,to_v,to_out.0" \
+  --lora_rank 32 \
+  --use_gradient_checkpointing \
+  --task "sft:train"
--- a/examples/ltx2/model_training/scripts/split_model_statedicts_ltx2.3.py
+++ b/examples/ltx2/model_training/scripts/split_model_statedicts_ltx2.3.py
@@ -0,0 +1,102 @@
+from safetensors.torch import save_file
+from diffsynth import hash_state_dict_keys
+from diffsynth.core import load_state_dict
+from diffsynth.models.model_loader import ModelPool
+import os
+
+model_pool = ModelPool()
+state_dict = load_state_dict("models/Lightricks/LTX-2.3/ltx-2.3-22b-dev.safetensors")
+os.makedirs("models/DiffSynth-Studio/LTX-2.3-Repackage", exist_ok=True)
+
+dit_state_dict = {}
+for name in state_dict:
+    if name.startswith("model.diffusion_model."):
+        new_name = name.replace("model.diffusion_model.", "")
+        if new_name.startswith("audio_embeddings_connector.") or new_name.startswith("video_embeddings_connector."):
+            continue
+        dit_state_dict[name] = state_dict[name]
+
+print(f"dit_state_dict keys hash: {hash_state_dict_keys(dit_state_dict)}")
+save_file(dit_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/transformer.safetensors")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/transformer.safetensors")
+
+
+video_vae_encoder_state_dict = {}
+for name in state_dict:
+    if name.startswith("vae.encoder."):
+        video_vae_encoder_state_dict[name] = state_dict[name]
+    elif name.startswith("vae.per_channel_statistics."):
+        video_vae_encoder_state_dict[name] = state_dict[name]
+
+save_file(video_vae_encoder_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/video_vae_encoder.safetensors")
+print(f"video_vae_encoder keys hash: {hash_state_dict_keys(video_vae_encoder_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/video_vae_encoder.safetensors")
+
+
+video_vae_decoder_state_dict = {}
+for name in state_dict:
+    if name.startswith("vae.decoder."):
+        video_vae_decoder_state_dict[name] = state_dict[name]
+    elif name.startswith("vae.per_channel_statistics."):
+        video_vae_decoder_state_dict[name] = state_dict[name]
+save_file(video_vae_decoder_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/video_vae_decoder.safetensors")
+print(f"video_vae_decoder keys hash: {hash_state_dict_keys(video_vae_decoder_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/video_vae_decoder.safetensors")
+
+
+audio_vae_decoder_state_dict = {}
+for name in state_dict:
+    if name.startswith("audio_vae.decoder."):
+        audio_vae_decoder_state_dict[name] = state_dict[name]
+    elif name.startswith("audio_vae.per_channel_statistics."):
+        audio_vae_decoder_state_dict[name] = state_dict[name]
+save_file(audio_vae_decoder_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vae_decoder.safetensors")
+print(f"audio_vae_decoder keys hash: {hash_state_dict_keys(audio_vae_decoder_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vae_decoder.safetensors")
+
+
+audio_vae_encoder_state_dict = {}
+for name in state_dict:
+    if name.startswith("audio_vae.encoder."):
+        audio_vae_encoder_state_dict[name] = state_dict[name]
+    elif name.startswith("audio_vae.per_channel_statistics."):
+        audio_vae_encoder_state_dict[name] = state_dict[name]
+save_file(audio_vae_encoder_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vae_encoder.safetensors")
+print(f"audio_vae_encoder keys hash: {hash_state_dict_keys(audio_vae_encoder_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vae_encoder.safetensors")
+
+
+audio_vocoder_state_dict = {}
+for name in state_dict:
+    if name.startswith("vocoder."):
+        audio_vocoder_state_dict[name] = state_dict[name]
+save_file(audio_vocoder_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vocoder.safetensors")
+print(f"audio_vocoder keys hash: {hash_state_dict_keys(audio_vocoder_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/audio_vocoder.safetensors")
+
+
+text_encoder_post_modules_state_dict = {}
+for name in state_dict:
+    if name.startswith("text_embedding_projection."):
+        text_encoder_post_modules_state_dict[name] = state_dict[name]
+    elif name.startswith("model.diffusion_model.video_embeddings_connector."):
+        text_encoder_post_modules_state_dict[name] = state_dict[name]
+    elif name.startswith("model.diffusion_model.audio_embeddings_connector."):
+        text_encoder_post_modules_state_dict[name] = state_dict[name]
+save_file(text_encoder_post_modules_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/text_encoder_post_modules.safetensors")
+print(f"text_encoder_post_modules keys hash: {hash_state_dict_keys(text_encoder_post_modules_state_dict)}")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/text_encoder_post_modules.safetensors")
+
+
+state_dict = load_state_dict("models/Lightricks/LTX-2.3/ltx-2.3-22b-distilled.safetensors")
+dit_state_dict = {}
+for name in state_dict:
+    if name.startswith("model.diffusion_model."):
+        new_name = name.replace("model.diffusion_model.", "")
+        if new_name.startswith("audio_embeddings_connector.") or new_name.startswith("video_embeddings_connector."):
+            continue
+        dit_state_dict[name] = state_dict[name]
+
+print(f"dit_state_dict keys hash: {hash_state_dict_keys(dit_state_dict)}")
+save_file(dit_state_dict, "models/DiffSynth-Studio/LTX-2.3-Repackage/transformer_distilled.safetensors")
+model_pool.auto_load_model("models/DiffSynth-Studio/LTX-2.3-Repackage/transformer_distilled.safetensors")
--- a/examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py
+++ b/examples/ltx2/model_training/validate_full/LTX-2.3-T2AV.py
@@ -0,0 +1,47 @@
+import torch
+from diffsynth.pipelines.ltx2_audio_video import LTX2AudioVideoPipeline, ModelConfig
+from diffsynth.utils.data.media_io_ltx2 import write_video_audio_ltx2
+
+vram_config = {
+    "offload_dtype": torch.bfloat16,
+    "offload_device": "cpu",
+    "onload_dtype": torch.bfloat16,
+    "onload_device": "cuda",
+    "preparing_dtype": torch.bfloat16,
+    "preparing_device": "cuda",
+    "computation_dtype": torch.bfloat16,
+    "computation_device": "cuda",
+}
+pipe = LTX2AudioVideoPipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized", origin_file_pattern="model-*.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="text_encoder_post_modules.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="video_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vocoder.safetensors", **vram_config),
+        ModelConfig(path="./models/train/LTX2.3-T2AV-full/epoch-4.safetensors", **vram_config),
+    ],
+    tokenizer_config=ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized"),
+)
+prompt = "A beautiful sunset over the ocean."
+negative_prompt = "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."
+height, width, num_frames = 512, 768, 121
+video, audio = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    seed=43,
+    height=height,
+    width=width,
+    num_frames=num_frames,
+    tiled=True,
+    cfg_scale=4.0
+)
+write_video_audio_ltx2(
+    video=video,
+    audio=audio,
+    output_path='ltx2_onestage.mp4',
+    fps=24,
+    audio_sample_rate=24000,
+)
--- a/examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py
+++ b/examples/ltx2/model_training/validate_lora/LTX-2.3-T2AV.py
@@ -0,0 +1,48 @@
+import torch
+from diffsynth.pipelines.ltx2_audio_video import LTX2AudioVideoPipeline, ModelConfig
+from diffsynth.utils.data.media_io_ltx2 import write_video_audio_ltx2
+
+vram_config = {
+    "offload_dtype": torch.bfloat16,
+    "offload_device": "cpu",
+    "onload_dtype": torch.bfloat16,
+    "onload_device": "cuda",
+    "preparing_dtype": torch.bfloat16,
+    "preparing_device": "cuda",
+    "computation_dtype": torch.bfloat16,
+    "computation_device": "cuda",
+}
+pipe = LTX2AudioVideoPipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized", origin_file_pattern="model-*.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="transformer.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="text_encoder_post_modules.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="video_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vae_decoder.safetensors", **vram_config),
+        ModelConfig(model_id="DiffSynth-Studio/LTX-2.3-Repackage", origin_file_pattern="audio_vocoder.safetensors", **vram_config),
+    ],
+    tokenizer_config=ModelConfig(model_id="google/gemma-3-12b-it-qat-q4_0-unquantized"),
+)
+pipe.load_lora(pipe.dit, "models/train/LTX2.3-T2AV_lora/epoch-4.safetensors")
+prompt = "A beautiful sunset over the ocean."
+negative_prompt = "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."
+height, width, num_frames = 512, 768, 121
+video, audio = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    seed=43,
+    height=height,
+    width=width,
+    num_frames=num_frames,
+    tiled=True,
+    cfg_scale=4.0
+)
+write_video_audio_ltx2(
+    video=video,
+    audio=audio,
+    output_path='ltx2_onestage.mp4',
+    fps=24,
+    audio_sample_rate=pipe.audio_vocoder.output_sampling_rate,
+)