rhfeiyang/art-free-diffusion

The model is first trained 41400 steps at the resolution of 256, then 62300 steps at the resolution of 512

    from diffusers import DiffusionPipeline

    pipe = DiffusionPipeline.from_pretrained("rhfeiyang/art-free-diffusion").to("cuda")
    images = pipe("The image depicts a picturesque small town by a river, featuring several docked boats. Surrounded by trees, the town is near a large body of water, highlighting its popularity for boating and water activities. The serene composition, with trees and boats, underscores the town's natural beauty and tranquil charm.", 
              num_inference_steps=50, guidance_scale=5,).images