update readme

README.md

@@ -1 +1,42 @@
-# Unique3d-Image2MV-Image-Variation-Diffuser Model Card. 
+# Unique3d-MVImage-Diffuser Model Card 
+
+# Usage 
+```bash 
+pipe = StableDiffusionImage2MVCustomPipeline.from_pretrained( 
+    "Luffuly/unique3d-mv-variation-diffuser",  
+    torch_dtype=torch.float16, 
+    trust_remote_code=True 
+).to("cuda")
+
+
+image = Image.open('hao.png').convert("RGB")
+
+forward_args = dict(
+    width=256,
+    height=256,
+    width_cond=256,
+    height_cond=256,  
+    num_images_per_prompt=4, 
+    num_inference_steps=50,  
+    guidance_scale=1.5,  
+) 
+
+out = pipe(image, **forward_args).images
+rgb_np = np.hstack([np.array(img) for img in out])
+Image.fromarray(rgb_np).save(f"test.png")
+```
+
+## Image-to-Normal 
+please check: 
+
+## Citation
+```bash 
+@misc{wu2024unique3d,
+      title={Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image}, 
+      author={Kailu Wu and Fangfu Liu and Zhihan Cai and Runjie Yan and Hanyang Wang and Yating Hu and Yueqi Duan and Kaisheng Ma},
+      year={2024},
+      eprint={2405.20343},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```