Instructions to use prithivMLmods/Natural-Exposure-Fibo-2.0-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Natural-Exposure-Fibo-2.0-dev 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("briaai/Fibo-2.0-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Natural-Exposure-Fibo-2.0-dev") 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
- Local Apps Settings
- Draw Things
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Please refer to the license terms of the base model, [briaai/Fibo-2.0-dev](https://huggingface.co/briaai/Fibo-2.0-dev), and ensure compliance with its terms when using or redistributing this adapter.
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## Acknowledgements
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This adapter was created by [prithivMLmods](https://huggingface.co/prithivMLmods) and is built for use with [briaai/Fibo-2.0-dev](https://huggingface.co/briaai/Fibo-2.0-dev).
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Please refer to the license terms of the base model, [briaai/Fibo-2.0-dev](https://huggingface.co/briaai/Fibo-2.0-dev), and ensure compliance with its terms when using or redistributing this adapter.
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## Acknowledgements
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This adapter was created by [prithivMLmods](https://huggingface.co/prithivMLmods) and is built for use with [briaai/Fibo-2.0-dev](https://huggingface.co/briaai/Fibo-2.0-dev).
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