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license: openrail |
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--- |
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Recommended version of `diffusers` is `0.20.2` with `torch` `2`. |
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Usage Example: |
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```python |
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import torch |
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import requests |
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from PIL import Image |
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler, ControlNetModel |
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# Load the pipeline |
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pipeline = DiffusionPipeline.from_pretrained( |
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"sudo-ai/zero123plus-v1.1", custom_pipeline="sudo-ai/zero123plus-pipeline", |
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torch_dtype=torch.float16 |
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) |
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pipeline.add_controlnet(ControlNetModel.from_pretrained( |
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"sudo-ai/controlnet-zp11-depth-v1", torch_dtype=torch.float16 |
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), conditioning_scale=0.75) |
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# Feel free to tune the scheduler |
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pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config( |
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pipeline.scheduler.config, timestep_spacing='trailing' |
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) |
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pipeline.to('cuda:0') |
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# Run the pipeline |
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cond = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/0_cond.png", stream=True).raw) |
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depth = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/0_depth.png", stream=True).raw) |
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result = pipeline(cond, depth_image=depth).images[0] |
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result.show() |
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result.save("output.png") |
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``` |
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