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https://github.com/ml-explore/mlx-examples.git
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38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
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# 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 A14B ------------------------#
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i2v_A14B = EasyDict(__name__='Config: Wan I2V A14B')
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i2v_A14B.update(wan_shared_cfg)
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i2v_A14B.t5_checkpoint = 'models_t5_umt5-xxl-enc-bf16.pth'
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i2v_A14B.t5_tokenizer = 'google/umt5-xxl'
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# vae
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i2v_A14B.vae_checkpoint = 'Wan2.1_VAE.pth'
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i2v_A14B.vae_stride = (4, 8, 8)
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# transformer
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i2v_A14B.patch_size = (1, 2, 2)
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i2v_A14B.dim = 5120
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i2v_A14B.ffn_dim = 13824
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i2v_A14B.freq_dim = 256
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i2v_A14B.num_heads = 40
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i2v_A14B.num_layers = 40
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i2v_A14B.window_size = (-1, -1)
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i2v_A14B.qk_norm = True
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i2v_A14B.cross_attn_norm = True
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i2v_A14B.eps = 1e-6
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i2v_A14B.low_noise_checkpoint = 'low_noise_model'
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i2v_A14B.high_noise_checkpoint = 'high_noise_model'
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# inference
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i2v_A14B.sample_shift = 5.0
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i2v_A14B.sample_steps = 40
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i2v_A14B.boundary = 0.900
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i2v_A14B.sample_guide_scale = (3.5, 3.5) # low noise, high noise
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