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README.md

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+---
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+inference: true
+---
+
+# Aligned Diffusion Model via DPO
+
+Diffusion Model Aligned with thef following reward model  and DPO algorithm
+```
+close-sourced vlm: claude3-opus  gemini-1.5  gpt-4o  gpt-4v
+open-sourced vlm: internvl-1.5
+score model: hps-2.1
+```
+
+## How to Use
+
+You can load the model and perform inference as follows:
+```python
+from diffusers import StableDiffusionPipeline, UNet2DConditionModel
+
+pretrained_model_name = "runwayml/stable-diffusion-v1-5"
+
+dpo_unet = UNet2DConditionModel.from_pretrained(
+        "path/to/checkpoint",
+        subfolder='unet',
+        torch_dtype=torch.float16
+    ).to('cuda')
+
+pipeline = StableDiffusionPipeline.from_pretrained(pretrained_model_name, torch_dtype=torch.float16)
+pipeline = pipeline.to('cuda')
+pipeline.safety_checker = None
+pipeline.unet = dpo_unet
+
+generator = torch.Generator(device='cuda')
+generator = generator.manual_seed(1)
+
+prompt = "a pink flower"
+
+image = pipeline(prompt=prompt, generator=generator, guidance_scale=gs).images[0]
+
+```