Update README.md and *.py files for RSEdit-DiT

README.md

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+# RSEdit-DiT - Inference Guide
+
+Quick guide for running inference with RSEdit DiT model for remote sensing image editing.
+
+## Quick Start
+
+### Python Code Example
+
+```python
+import torch
+from PIL import Image
+from diffusers import DiffusionPipeline
+
+# Load model with custom pipeline
+model_path = "/data/models/ours/BiliSakura/RSEdit-DiT"
+pipe = DiffusionPipeline.from_pretrained(
+    model_path,
+    torch_dtype=torch.bfloat16,
+    custom_pipeline="pipeline_rsedit_dit"
+).to("cuda")
+
+# Switch to AttnProcessor (required for RSEdit DiT)
+from diffusers.models.attention_processor import AttnProcessor
+pipe.transformer.set_attn_processor(AttnProcessor())
+
+# Load source image
+source_image = Image.open("satellite_image.png").convert("RGB")
+
+# Edit with instruction
+prompt = "Flood the coastal area"
+edited_image = pipe(
+    prompt=prompt,
+    source_image=source_image,
+    num_inference_steps=50,
+    guidance_scale=4.5,
+    image_guidance_scale=1.5,
+    height=512,
+    width=512,
+).images[0]
+
+# Save result
+edited_image.save("edited_image.png")
+```