s/stable-diffusion-v1-4", torch_dtype=torch.float16)
pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")

prompt = "A pokemon with blue eyes."
image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5, cross_attention_kwargs={"scale": 0.5}).images[0]
image.save("pokemon.png")
A value of 0 is the same as not using the LoRA weights, whereas 1 means only the LoRA fine-tuned weights will be used. Values between 0 and 1 will interpolate betw