Add diffusers examples (#3)

- Add diffusers examples (c2126d1346b4e1e863d90396142d087146d7f881)


Co-authored-by: Suraj Patil <[email protected]>

README.md

@@ -14,7 +14,7 @@ The model is trained from scratch 550k steps at resolution `256x256` on a subset
 ![image](https://github.com/Stability-AI/stablediffusion/blob/main/assets/stable-samples/txt2img/merged-0003.png?raw=true)
 
 - Use it with the [`stablediffusion`](https://github.com/Stability-AI/stablediffusion) repository: download the `512-base-ema.ckpt` [here](https://huggingface.co/stabilityai/stable-diffusion-2-base/resolve/main/512-base-ema.ckpt).
-- Use it with 🧨 diffusers (_coming soon_)
+- Use it with 🧨 [`diffusers`](https://huggingface.co/stabilityai/stable-diffusion-2-base#model-details#Examples)
 
 ## Model Details
 - **Developed by:** Robin Rombach, Patrick Esser
@@ -33,6 +33,36 @@ The model is trained from scratch 550k steps at resolution `256x256` on a subset
           year      = {2022},
           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 PNDM/PLMS scheduler, in this example we are swapping it to EulerDiscreteScheduler):
+
+```python
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+
+model_id = "stabilityai/stable-diffusion-2-base"
+
+# 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).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
 
@@ -152,4 +182,4 @@ Based on that information, we estimate the following CO2 emissions using the [Ma
         pages     = {10684-10695}
     }
 
-*This model card was written by: Robin Rombach, Patrick Esser and David Ha and is based on the [Stable Diffusion v1](https://github.com/CompVis/stable-diffusion/blob/main/Stable_Diffusion_v1_Model_Card.md) and [DALL-E Mini model card](https://huggingface.co/dalle-mini/dalle-mini).*
+*This model card was written by: Robin Rombach, Patrick Esser and David Ha and is based on the [Stable Diffusion v1](https://github.com/CompVis/stable-diffusion/blob/main/Stable_Diffusion_v1_Model_Card.md) and [DALL-E Mini model card](https://huggingface.co/dalle-mini/dalle-mini).*