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src/diffusers/loaders/single_file_utils.py

Lines changed: 5 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -207,6 +207,7 @@
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"wan-i2v-14B": {"pretrained_model_name_or_path": "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"},
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"wan-vace-1.3B": {"pretrained_model_name_or_path": "Wan-AI/Wan2.1-VACE-1.3B-diffusers"},
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"wan-vace-14B": {"pretrained_model_name_or_path": "Wan-AI/Wan2.1-VACE-14B-diffusers"},
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"wan-2-2-i2v-14B": {"pretrained_model_name_or_path": "Wan-AI/Wan-AI/Wan2.1-I2V-14B-720P-Diffusers"},
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"hidream": {"pretrained_model_name_or_path": "HiDream-ai/HiDream-I1-Dev"},
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"cosmos-1.0-t2w-7B": {"pretrained_model_name_or_path": "nvidia/Cosmos-1.0-Diffusion-7B-Text2World"},
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"cosmos-1.0-t2w-14B": {"pretrained_model_name_or_path": "nvidia/Cosmos-1.0-Diffusion-14B-Text2World"},
@@ -732,7 +733,10 @@ def infer_diffusers_model_type(checkpoint):
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elif checkpoint[target_key].shape[0] == 5120 and checkpoint[target_key].shape[1] == 16:
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model_type = "wan-t2v-14B"
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else:
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model_type = "wan-i2v-14B"
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if "img_emb.proj.0.bias" in checkpoint:
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model_type = "wan-i2v-14B"
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else:
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model_type = "wan-2-2-i2v-14B"
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elif CHECKPOINT_KEY_NAMES["wan_vae"] in checkpoint:
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# All Wan models use the same VAE so we can use the same default model repo to fetch the config

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