Instructions to use ZackYF/FLUX.1-dev-Controlnet-Inpainting-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZackYF/FLUX.1-dev-Controlnet-Inpainting-Beta 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("ZackYF/FLUX.1-dev-Controlnet-Inpainting-Beta", 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
- Xet hash:
- 1b51abb7de534dafa2d53afb0e6f3939af08e90ddaa2c21b1492b93b9747d33c
- Size of remote file:
- 4.28 GB
- SHA256:
- ca46c5f7b5de02caee7c069f2aedbf628af8def8578319ceae3be1588d448448
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