Glow up the model card (#3)

- Glow up the model card (c57c9504f2bfedfe10d21cc7488eccaddb711d8c)
- add example (7188723f2abdf263dbfa8453d7926f457b95e86b)
- Update README.md (7ba06306e7b741e3e8d6e4ece5a714f2fca8acfc)
- Update README.md (318ed1dc8ae43b5f8c706f6802092871c5d385d6)


Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,33 @@
-Merge of SDXL Turbo & SDXL DPO
+---
+license: other
+widget:
+- text: '-'
+  output:
+    url: dpo_turbo_robot.jpeg
+tags:
+- turbo
+- stable-diffusion
+- stable-diffusion-xl
+- dpo
+inference:
+  parameters:
+    num_inference_steps: 8
+---
 
-Read their licences before using it.
+## Merge of SDXL Turbo & SDXL DPO
+
+</Gallery>
+
+Read their licences before using it.
+
+## `*.safetensors` for AUTOMATIC1111, ComfyUI, InvokeAI
+[Download *.safetensors file](https://huggingface.co/thibaud/sdxl_dpo_turbo/resolve/main/sdxl_dpo_turbo.safetensors?download=true)
+
+## Use it with 🧨 diffusers
+```python
+from diffusers import AutoPipelineForText2Image
+import torch
+        
+pipeline = AutoPipelineForText2Image.from_pretrained('thibaud/sdxl_dpo_turbo', torch_dtype=torch.float16).to('cuda')        
+image = pipeline('A mecha robot in a favela', num_inference_steps=2).images[0]
+```