Update README.md

README.md

@@ -1,3 +1,44 @@
 ---
 license: apache-2.0
+datasets:
+- Oysiyl/google-android-toy
+language:
+- en
 ---
+
+### Demo
+You can try the demo [here](https://sdloraandroidtoy.streamlit.app/). 
+
+For hosting the [frontend](https://github.com/dmitriy-kisil/sd_lora_android_toy_frontend) part [Streamlit Community Cloud](https://streamlit.io/cloud) and [Cerebrium](https://www.cerebrium.ai/) for the [backend](https://github.com/dmitriy-kisil/sd_lora_android_toy_backend) part were used.
+
+### Model card
+
+Finetuned from SD 1.5 using LoRA on a custom dataset [link](https://huggingface.co/datasets/Oysiyl/google-android-toy).
+
+W&B [run](https://wandb.ai/logart1995/text2image-fine-tune/runs/2o98mhc7?workspace=user-logart1995).
+
+### Inference
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipe = AutoPipelineForText2Image.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
+pipe.load_lora_weights("Oysiyl/sd-lora-android-google-toy", weights="pytorch_lora_weights.safetensors")
+pipe = pipe.to("cuda")
+
+g = torch.Generator(device="cuda").manual_seed(42)
+
+image = pipe("An android toy near Eiffel tower",
+              num_inference_steps=50,
+              num_images_per_prompt=1,
+              guidance_scale=7.5,
+              temperature=1.0,
+              generator=g).images[0]  
+
+image.save("android_toy.png")
+```
+
+### Example
+
+![example](./images/android_toy.png)