Create README.md

README.md

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+---
+license: mit
+tags:
+  - super-resolution
+  - ddim
+  - weather
+  - wind
+library_name: diffusers
+model_type: ddim
+datasets:
+  - your-dataset-name
+---
+# DDIM-DSC (4× Super-Resolution for Wind Data)
+---
+
+## 🧠 Model Architecture
+
+- **Base**: DDIM
+- **Input channels**: 10 
+- **Output channels**: 10
+- **Scale factor**: 4×
+---
+
+---
+## 🚀 How to Use
+```python
+import torch
+from diffusers import DiffusionPipeline, DDIMScheduler
+from diffusers import DDIMScheduler
+
+# 
+pipe = DiffusionPipeline.from_pretrained(
+    "lschmidt/ddim-dsc",
+    custom_pipeline="cond_ddim_pipeline", 
+    trust_remote_code=True
+)
+
+#
+batch_size = 1
+in_channels = 6
+sample_size = 160
+sequence_len = 3
+
+lres_image = torch.randn((sequence_len, in_channels, sample_size, sample_size)).to(pipe.device)
+print(inputs.shape)
+pipe(image =inputs)