Instructions to use manycore-research/FLUX.1-Layout-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manycore-research/FLUX.1-Layout-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("manycore-research/FLUX.1-Layout-ControlNet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5c650a7c6c5641d13bfef6e21ea7f90202a71aab7668b473eb345b6fc637dd4
- Size of remote file:
- 2.98 GB
- SHA256:
- f4b998ab5b0b827125e626b13f2ed97f8491e9dbf18f42ea7cd6762f75f9759f
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