Create README.md

README.md

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+
+
+TODO:
+- The fp16 base model is converted to openvino in fp32, which is unnecessary.
+
+
+```python
+import torch
+from diffusers import AutoPipelineForText2Image, LCMScheduler
+from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline
+
+base_model_id = "Lykon/dreamshaper-8"
+adapter_id = "latent-consistency/lcm-lora-sdv1-5"
+save_torch_folder = './dreamshaper-8-lcm'
+save_ov_folder = './dreamshaper-8-lcm-openvino'
+
+torch_pipeline = AutoPipelineForText2Image.from_pretrained(
+    base_model_id, torch_dtype=torch.float16, variant="fp16")
+torch_pipeline.scheduler = LCMScheduler.from_config(
+    torch_pipeline.scheduler.config)
+# load and fuse lcm lora
+torch_pipeline.load_lora_weights(adapter_id)
+torch_pipeline.fuse_lora()
+torch_pipeline.save_pretrained(save_torch_folder)
+
+ov_pipeline = OVStableDiffusionPipeline.from_pretrained(
+    save_torch_folder,
+    device='CPU',
+    export=True,
+)
+ov_pipeline.save_pretrained(save_ov_folder)
+```