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add wan2.2-fun-A14B inp, control and control-camera (#839)
* update wan2.2-fun * update wan2.2-fun * update wan2.2-fun * add examples * update wan2.2-fun * update wan2.2-fun * Rename Wan2.2-Fun-A14B-Inp.py to Wan2.2-Fun-A14B-InP.py --------- Co-authored-by: lzw478614@alibaba-inc.com <lzw478614@alibaba-inc.com>
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@@ -294,6 +294,7 @@ class WanModel(torch.nn.Module):
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):
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super().__init__()
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self.dim = dim
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self.in_dim = in_dim
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self.freq_dim = freq_dim
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self.has_image_input = has_image_input
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self.patch_size = patch_size
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@@ -713,6 +714,42 @@ class WanModelStateDictConverter:
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"eps": 1e-6,
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"require_clip_embedding": False,
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}
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elif hash_state_dict_keys(state_dict) == "2267d489f0ceb9f21836532952852ee5":
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# Wan2.2-Fun-A14B-Control
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config = {
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"has_image_input": False,
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"patch_size": [1, 2, 2],
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"in_dim": 52,
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"dim": 5120,
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"ffn_dim": 13824,
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"freq_dim": 256,
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"text_dim": 4096,
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"out_dim": 16,
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"num_heads": 40,
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"num_layers": 40,
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"eps": 1e-6,
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"has_ref_conv": True,
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"require_clip_embedding": False,
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}
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elif hash_state_dict_keys(state_dict) == "47dbeab5e560db3180adf51dc0232fb1":
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# Wan2.2-Fun-A14B-Control-Camera
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config = {
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"has_image_input": False,
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"patch_size": [1, 2, 2],
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"in_dim": 36,
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"dim": 5120,
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"ffn_dim": 13824,
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"freq_dim": 256,
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"text_dim": 4096,
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"out_dim": 16,
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"num_heads": 40,
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"num_layers": 40,
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"eps": 1e-6,
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"has_ref_conv": False,
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"add_control_adapter": True,
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"in_dim_control_adapter": 24,
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"require_clip_embedding": False,
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}
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else:
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config = {}
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return state_dict, config
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