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:
- 177e4eb77f0b2e3d2e6a22ac3ed5b81567a8429af545f4918904439888a6afb1
- Size of remote file:
- 1.45 GB
- SHA256:
- 70657bb31f17e7f55979c94dea7a2ebda7c52d8886b4729bc601b8fe1883e534
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