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:
- 9d542a23095dd0f831839093a76260a9cc6c7989445ad549bc5ed2f119f8a430
- Size of remote file:
- 1.45 GB
- SHA256:
- 878acaeb938113827edd042905150bf1d1869039cbabbde3002a5ae8e05cf322
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