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Update README.md
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README.md
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@@ -19,7 +19,7 @@ This model is a self-play fine-tuned diffusion model at iteration 3 from [runway
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### Model Description
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- Model type:
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- Language(s) (NLP): Primarily English
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- License: Apache-2.0
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- Finetuned from model: runwayml/stable-diffusion-v1-5
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- lr_warmup_steps: 200
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- num_training_steps: 500
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## Citation
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```
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@misc{yuan2024self,
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### Model Description
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- Model type: A diffusion model with unet fine-tuned, based on the structure of stable diffusion 1.5
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- Language(s) (NLP): Primarily English
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- License: Apache-2.0
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- Finetuned from model: runwayml/stable-diffusion-v1-5
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- lr_warmup_steps: 200
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- num_training_steps: 500
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### Usage
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To use the model, you must first load the SD1.5 base model and then substitute its unet with our fine-tuned version.
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```python
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from diffusers import StableDiffusionPipeline, UNet2DConditionModel
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import torch
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model_id = "runwayml/stable-diffusion-v1-5"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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unet_id = "UCLA-AGI/SPIN-Diffusion-iter3"
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unet = UNet2DConditionModel.from_pretrained(unet_id, subfolder="unet", torch_dtype=torch.float16)
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pipe.unet = unet
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###The rest of your generation code
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```
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### Evaluation Results on [Pick-a-pic test set](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2/viewer/default/test_unique)
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| Metric | Best of Five | Mean | Median
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|-----------------------|---------------------------|--------|-------
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| HPS | 0.28 | 0.27 | 0.27
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| Aesthetic | 6.26 | 5.94 | 5.98
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| Image Reward | 1.13 | 0.53 | 0.67
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| Pickapic Score | 22.00 |21.36 | 21.46
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## Citation
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```
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@misc{yuan2024self,
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