--- license: openrail datasets: - allenai/objaverse library_name: diffusers pipeline_tag: image-to-image tags: - art --- Recommended version of `diffusers` is `0.20.2` with `torch` `2`. Usage Example: ```python import torch import requests from PIL import Image from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler # Load the pipeline pipeline = DiffusionPipeline.from_pretrained( "sudo-ai/zero123plus-v1.1", custom_pipeline="sudo-ai/zero123plus-pipeline", torch_dtype=torch.float16 ) # Feel free to tune the scheduler pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config( pipeline.scheduler.config, timestep_spacing='trailing' ) pipeline.to('cuda:0') # Run the pipeline cond = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/lysol.png", stream=True).raw) result = pipeline(cond).images[0] result.show() result.save("output.png") ```