| """Nova XL LCM OpenVINO INT4 inference example (optimum-intel). | |
| Requires: diffusers==0.37.1, transformers==4.57.6, tokenizers==0.22.0, | |
| huggingface-hub==0.35.1, optimum-intel==2.2.0, optimum==2.3.0, | |
| openvino==2026.4.0, nncf==3.4.0, torch, pillow, psutil | |
| Source model: sca255/nova_xl_lcm (SDXL LCM anime). | |
| Recipe: num_inference_steps=8, guidance_scale=1.5, 1024x1024. | |
| """ | |
| import torch | |
| from optimum.intel import OVDiffusionPipeline | |
| MODEL_ID = "HelloSun/nova_xl_lcm-OpenVINO-INT4" # or local ./nova_xl_lcm-ov-int4 | |
| def main(): | |
| pipe = OVDiffusionPipeline.from_pretrained(MODEL_ID, compile=True) | |
| prompt = "1girl, anime style, masterpiece, best quality, detailed face, beautiful eyes" | |
| image = pipe( | |
| prompt=prompt, | |
| height=1024, width=1024, | |
| num_inference_steps=8, | |
| guidance_scale=1.5, | |
| generator=torch.Generator().manual_seed(42), | |
| ).images[0] | |
| image.save("nova_xl_lcm_ov_int4.png") | |
| print("saved nova_xl_lcm_ov_int4.png") | |
| if __name__ == "__main__": | |
| main() | |