Create README.md

README.md

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+---
+library_name: diffusers
+pipeline_tag: text-to-image
+inference: true
+base_model: stabilityai/sdxl-turbo
+---
+# DPO LoRA Stable Diffusion XL Turbo
+Model trained with LoRA implementation of Diffusion DPO Read more [here](https://github.com/huggingface/diffusers/tree/main/examples/research_projects/diffusion_dpo)
+
+
+Base Model: https://huggingface.co/stabilityai/sdxl-turbo
+
+## Running with [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+
+```python
+
+from diffusers import DiffusionPipeline
+from diffusers.utils import make_image_grid
+import torch
+
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/sdxl-turbo",
+    torch_dtype=torch.float16, variant="fp16"
+)
+pipe.to("cuda")
+pipe.load_lora_weights("radames/sdxl-turbo-DPO-LoRA", adapter_name="dpo-lora-sd21")
+pipe.set_adapters(["dpo-lora-sd21"], adapter_weights=[1.0]) # you can play with adapter_weights to increase the effect of the LoRA model
+seed = 123123
+prompt = "portrait headshot professional of elon musk"
+negative_prompt = "3d render, cartoon, drawing, art, low light"
+generator = torch.Generator().manual_seed(seed)
+images = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    width=512,
+    height=512,
+    num_inference_steps=2,
+    generator=generator,
+    guidance_scale=1.0,
+    num_images_per_prompt=4
+).images
+make_image_grid(images, 1, 4)
+```
+
+## Guidance Scale vs LoRA weights 
+
+
+  
+
+## Examples
+
+Left Withoud DPO right with DPO LoRA