Instructions to use GreeneryScenery/SheepsControlV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GreeneryScenery/SheepsControlV1 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/SheepsControlV1", 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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README.md
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- Better text prompts
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## Example:
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- Better text prompts
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## Example:
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Prompt: Lamb
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Conditioning image:
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<img src = 'https://huggingface.co/GreeneryScenery/SheepsControl/resolve/main/example_input.png' style = 'width: 256px'>
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Image:
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<img src = 'https://huggingface.co/GreeneryScenery/SheepsControl/resolve/main/example_output.png' style = 'width: 256px'>
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