Update README.md

README.md

@@ -35,4 +35,22 @@ Settings used: "wltzwthbshr SUBJECT", euler a, 35 steps, cfg 7, 1024x1024, high
 <img src="https://s3.amazonaws.com/moonup/production/uploads/1669067002688-637bef89ca8542a0ba8cd54b.png" width="100%"/>
 <img src="https://s3.amazonaws.com/moonup/production/uploads/1669067001859-637bef89ca8542a0ba8cd54b.png" width="100%"/>
 <img src="https://s3.amazonaws.com/moonup/production/uploads/1669067002184-637bef89ca8542a0ba8cd54b.png" width="100%"/>
-<img src="https://s3.amazonaws.com/moonup/production/uploads/1669067003006-637bef89ca8542a0ba8cd54b.png" width="100%"/>
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1669067003006-637bef89ca8542a0ba8cd54b.png" width="100%"/>
+
+### 🧨 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 = "mikesmodels/Waltz_with_Bashir_Diffusion"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+prompt = "wltzwthbshr dwayne johnson"
+image = pipe(prompt).images[0]
+image.save("./dwayne johnson.png")
+```