Instructions to use GreeneryScenery/SheepsControlV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GreeneryScenery/SheepsControlV3", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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datasets:
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- GreeneryScenery/SheepsNetV2
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pipeline_tag:
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tags:
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- art
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- ControlNet
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---
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datasets:
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- GreeneryScenery/SheepsNetV2
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pipeline_tag: image-to-image
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tags:
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- art
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- ControlNet
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