Update README.md

README.md

@@ -61,8 +61,41 @@ Weights for this model are available in Safetensors format.
 
 #### How to use
 
+```bash
+# Create and activate conda environment
+conda create –name dreambooth python=3.10
+conda activate dreambooth
+
+# Install ipykernel (needed only if you want to run the inference inside a jupyter-notebook)
+conda install -c anaconda ipykernel
+python -m ipykernel install --user --name=dreambooth
+
+# Clone and install diffusers package
+git clone https://github.com/huggingface/diffusers
+cd diffusers
+pip install -e .
+
+# Browse to examples/dreambooth directory in the diffusers installation directory
+cd examples/dreambooth
+
+# Install dreambooth sdxl training dependencies
+pip install -r requirements_sdxl.txt
+```
+
 ```python
-# TODO: add an example code snippet for running this diffusion pipeline
+from huggingface_hub.repocard import RepoCard
+from diffusers import DiffusionPipeline
+import torch
+
+lora_model_id = "DKTech/dreambooth-test-1"
+card = RepoCard.load(lora_model_id)
+base_model_id = card.data.to_dict()["base_model"]
+
+pipe = DiffusionPipeline.from_pretrained(base_model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+pipe.load_lora_weights(lora_model_id)
+image = pipe("A picture of an elephant that looks like a dog.", num_inference_steps=25).images[0]
+image.save("my_image.png")
 ```
 
 #### Limitations and bias