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