File size: 971 Bytes
3964763 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
import torch
from easydict import EasyDict
from .shared_config import wan_shared_cfg
#------------------------ Wan I2V 14B ------------------------#
i2v_14B = EasyDict(__name__='Config: Wan I2V 14B')
i2v_14B.update(wan_shared_cfg)
i2v_14B.t5_checkpoint = 'models_t5_umt5-xxl-enc-bf16.pth'
i2v_14B.t5_tokenizer = 'google/umt5-xxl'
# clip
i2v_14B.clip_model = 'clip_xlm_roberta_vit_h_14'
i2v_14B.clip_dtype = torch.float16
i2v_14B.clip_checkpoint = 'models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth'
i2v_14B.clip_tokenizer = 'xlm-roberta-large'
# vae
i2v_14B.vae_checkpoint = 'Wan2.1_VAE.pth'
i2v_14B.vae_stride = (4, 8, 8)
# transformer
i2v_14B.patch_size = (1, 2, 2)
i2v_14B.dim = 5120
i2v_14B.ffn_dim = 13824
i2v_14B.freq_dim = 256
i2v_14B.num_heads = 40
i2v_14B.num_layers = 40
i2v_14B.window_size = (-1, -1)
i2v_14B.qk_norm = True
i2v_14B.cross_attn_norm = True
i2v_14B.eps = 1e-6
|