Update README.md

README.md

@@ -20,7 +20,7 @@ DiffSynth-facing **full DiT** for the released Echo-Memory `context_k1` row.
 
 ## What this file is
 
-`diffusion_pytorch_model.safetensors` is a **complete Wan 2.1 T2V 1.3B DiT** (825 / 825 official keys).
+`diffusion_pytorch_model-*-of-00006.safetensors` is a **complete Wan 2.1 T2V 1.3B DiT** (825 / 825 official keys), sharded for Hub upload. Load with `origin_file_pattern="diffusion_pytorch_model*.safetensors"`.
 
 It is official [Wan-AI/Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B) DiT keys with the Echo-Memory `context_k1` overlay already merged. Research extras (`action_mlp`, `self_attn_with_action`, SSM / spatial slots) are **not** included, so the file loads like a normal Wan transformer (`strict=True` on `pipe.dit`).
 
@@ -40,7 +40,7 @@ pipe = WanVideoPipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
     device="cuda",
     model_configs=[
-        ModelConfig(model_id="Wayne-King/echo-memory-context-k1-full", origin_file_pattern="diffusion_pytorch_model.safetensors"),
+        ModelConfig(model_id="SOTAowner/Echo-Memory-context-k1", origin_file_pattern="diffusion_pytorch_model*.safetensors"),
         ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
         ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="Wan2.1_VAE.pth"),
     ],