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from diffusers import StableDiffusionPipeline
import torch
model_path = "ahmadjaved97/car_genrator_sd"
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")
prompt = "Front view of a yellow sports car running on a road"
image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
image.save("car_image.png")