Instructions to use Learner/jax-diffuser-event with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Learner/jax-diffuser-event with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Learner/jax-diffuser-event") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3ba2b0edcf1f292037b508877c58714875408cae8c6fc20c1516fc21f3b636b5
- Size of remote file:
- 723 MB
- SHA256:
- e1c0f98b17989984cb23f5d67729aaad1206ff53f40c13271f78534a9220f326
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