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The model is trained at 26900 steps, resolution of 256

    from diffusers import DiffusionPipeline

    pipe = DiffusionPipeline.from_pretrained("rhfeiyang/SafeArt-256").to("cuda")
    pipe.enable_xformers_memory_efficient_attention()
    images = pipe("Mountainous landscape with scattered trees and a winding road", num_inference_steps=50, guidance_scale=5, height=256, width=256).images

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