Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- lambdalabs/pokemon-blip-captions
+language:
+- en
+---
+
+This is the highly optimized version of the [Stable Diffusion model for pokemon generation](https://huggingface.co/svjack/Stable-Diffusion-Pokemon-en). 
+The model was optimized with a combination of two methods:
+* Quantization-aware training from [NNCF](https://github.com/openvinotoolkit/nncf).
+* A modification of the Token Merging method from [here](https://github.com/AlexKoff88/tomesd/tree/openvino).
+
+To run the model use the following code:
+
+```python
+%pip install optimum[openvino,diffusers]
+
+from optimum.intel.openvino import OVStableDiffusionPipeline
+from diffusers import LMSDiscreteScheduler, DDPMScheduler
+
+import torch
+import random
+import numpy as np
+
+pipe = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-tome-quantized", compile=False)
+pipe.reshape(batch_size=1, height=512, width=512, num_images_per_prompt=1)
+pipe.compile()
+
+# Use original model to compare
+# pipe = OVStableDiffusionPipeline.from_pretrained("svjack/Stable-Diffusion-Pokemon-en", export=True, compile=False)
+
+prompt = "cartoon bird"
+output = pipe(prompt, num_inference_steps=50, output_type="pil")
+output.images[0].save("output.png")
+```
+