* Update Flow * Update Flow * Update Flow * add image recaptioning * Fix bug in t2v * update train_reward_lora.py * update reward training * Update V5.1 and mix multi text_encoders to one pipeline * Update V5.1 training Code * Update ComfyUI * Update Comment * Delete files * update reward training * Update Readme * fix extract frames in compute_semantic_consistency * Update Readme && Remove to in prediction * Update Demo * Update Readme * Update ui * support vae gradient checkpointing in reward training * Update Training Readme --------- Co-authored-by: hkunzhe <huangkunzhe.hkz@alibaba-inc.com>
15 lines
633 B
Python
15 lines
633 B
Python
from .autoencoder_magvit import (AutoencoderKL, AutoencoderKLCogVideoX,
|
|
AutoencoderKLMagvit)
|
|
from .transformer3d import (EasyAnimateTransformer3DModel,
|
|
HunyuanTransformer3DModel, Transformer3DModel)
|
|
|
|
name_to_transformer3d = {
|
|
"Transformer3DModel": Transformer3DModel,
|
|
"HunyuanTransformer3DModel": HunyuanTransformer3DModel,
|
|
"EasyAnimateTransformer3DModel": EasyAnimateTransformer3DModel,
|
|
}
|
|
name_to_autoencoder_magvit = {
|
|
"AutoencoderKL": AutoencoderKL,
|
|
"AutoencoderKLMagvit": AutoencoderKLMagvit,
|
|
"AutoencoderKLCogVideoX": AutoencoderKLCogVideoX,
|
|
} |