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Recommended version of diffusers is 0.20.2 with torch 2.

Usage Example:

import torch
import requests
from PIL import Image
from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler

# Load the pipeline
pipeline = DiffusionPipeline.from_pretrained(
    "S1T4L/Zero123pp_custom", custom_pipeline="S1T4L/Zero123pp_custom_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")
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Dataset used to train S1T4L/Zero123pp_custom