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https://github.com/Wan-Video/Wan2.1.git
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37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
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import torch
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from easydict import EasyDict
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from .shared_config import wan_shared_cfg
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#------------------------ Wan I2V 14B ------------------------#
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i2v_14B = EasyDict(__name__='Config: Wan I2V 14B')
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i2v_14B.update(wan_shared_cfg)
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i2v_14B.sample_neg_prompt = "镜头晃动，" + i2v_14B.sample_neg_prompt
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i2v_14B.t5_checkpoint = 'models_t5_umt5-xxl-enc-bf16.pth'
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i2v_14B.t5_tokenizer = 'google/umt5-xxl'
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# clip
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i2v_14B.clip_model = 'clip_xlm_roberta_vit_h_14'
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i2v_14B.clip_dtype = torch.float16
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i2v_14B.clip_checkpoint = 'models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth'
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i2v_14B.clip_tokenizer = 'xlm-roberta-large'
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# vae
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i2v_14B.vae_checkpoint = 'Wan2.1_VAE.pth'
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i2v_14B.vae_stride = (4, 8, 8)
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# transformer
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i2v_14B.patch_size = (1, 2, 2)
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i2v_14B.dim = 5120
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i2v_14B.ffn_dim = 13824
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i2v_14B.freq_dim = 256
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i2v_14B.num_heads = 40
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i2v_14B.num_layers = 40
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i2v_14B.window_size = (-1, -1)
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i2v_14B.qk_norm = True
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i2v_14B.cross_attn_norm = True
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i2v_14B.eps = 1e-6
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