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diffusers is 0.20.2 or 0.24.0 with torch 2.1import copy
2import torch
3import requests
4from PIL import Image
5from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler, ControlNetModel
6
7# Load the pipeline
8pipeline: DiffusionPipeline = DiffusionPipeline.from_pretrained(
9 "sudo-ai/zero123plus-v1.2", custom_pipeline="sudo-ai/zero123plus-pipeline",
10 torch_dtype=torch.float16
11)
12normal_pipeline = copy.copy(pipeline)
13normal_pipeline.add_controlnet(ControlNetModel.from_pretrained(
14 "sudo-ai/controlnet-zp12-normal-gen-v1", torch_dtype=torch.float16
15), conditioning_scale=1.0)
16pipeline.to("cuda:0", torch.float16)
17normal_pipeline.to("cuda:0", torch.float16)
18# Run the pipeline
19cond = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/0_cond.png", stream=True).raw)
20genimg = pipeline(
21 cond,
22 prompt='', guidance_scale=4, num_inference_steps=75, width=640, height=960
23).images[0]
24normalimg = normal_pipeline(
25 cond, depth_image=genimg,
26 prompt='', guidance_scale=1, num_inference_steps=50, width=640, height=960
27).images[0]
28genimg.save("colors.png")
29normalimg.save("normals.png")