Files
DiffSynth-Studio/examples/ltx2/model_training/scripts/split_model_statedicts_ltx2.3.py
2026-03-06 18:08:42 +08:00

103 lines
5.2 KiB
Python

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")