Update README.md

README.md

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 Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
 
-![visitors](https://visitor-badge.glitch.me/badge?page_id=wissamantoun.arabicnlpapp)
+
 
 
 Sample pictures of this concept:
 
+
+
 ![hisa.png](https://s3.amazonaws.com/moonup/production/uploads/1673539012255-6387323e5c68cf2713b75239.png)
 ![listi.png](https://s3.amazonaws.com/moonup/production/uploads/1673539074312-6387323e5c68cf2713b75239.png)
 ![deblo.png](https://s3.amazonaws.com/moonup/production/uploads/1673539078106-6387323e5c68cf2713b75239.png)
+
+```
+Positive: LegoStyle style, smooth objects, high resolution
+Negative: curve, circle, blurry, drawing, cartoon illustration
+Steps: 30, Sampler: DPM++ 2S a, CFG scale: 7.5, Size: 786x786
+```
+
+### 🧨 Diffusers
+
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+model_id = "prompthero/openjourney"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+prompt = "retro serie of different cars with different colors and shapes, mdjrny-v4 style"
+image = pipe(prompt).images[0]
+image.save("./retro_cars.png")
+```