Add diffusers example (#5)

- Add diffusers example (f38af4171bea08368e6ffe5a988df3b0bbe960b4)


Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>

README.md

@@ -14,7 +14,7 @@ This `stable-diffusion-2` model is resumed from [stable-diffusion-2-base](https:
 ![image](https://github.com/Stability-AI/stablediffusion/blob/main/assets/stable-samples/txt2img/768/merged-0005.png?raw=true)
 
 - Use it with the [`stablediffusion`](https://github.com/Stability-AI/stablediffusion) repository: download the `768-v-ema.ckpt` [here](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/768-v-ema.ckpt).
-- Use it with 🧨 diffusers (_coming soon_)
+- Use it with 🧨 [`diffusers`](https://huggingface.co/stabilityai/stable-diffusion-2#model-details#Examples)
 
 ## Model Details
 - **Developed by:** Robin Rombach, Patrick Esser
@@ -34,6 +34,37 @@ This `stable-diffusion-2` model is resumed from [stable-diffusion-2-base](https:
           pages     = {10684-10695}
       }
 
+
+## Examples
+
+Using the [🤗's Diffusers library](https://github.com/huggingface/diffusers) to run Stable Diffusion 2 in a simple and efficient manner.
+
+```bash
+pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy
+```
+Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to EulerDiscreteScheduler):
+
+```python
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+
+model_id = "stabilityai/stable-diffusion-2"
+
+# Use the Euler scheduler here instead
+scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision="fp16", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "a photo of an astronaut riding a horse on mars"
+image = pipe(prompt, height=768, width=768).images[0]
+    
+image.save("astronaut_rides_horse.png")
+```
+
+**Notes**:
+- Despite not being a dependency, we highly recommend you to install [xformers](https://github.com/facebookresearch/xformers) for memory efficient attention (better performance)
+- If you have low GPU RAM available, make sure to add a `pipe.enable_attention_slicing()` after sending it to `cuda` for less VRAM usage (to the cost of speed)
+
+
 # Uses
 
 ## Direct Use