Instructions to use ashllay/noobai-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashllay/noobai-control-lora with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ashllay/noobai-control-lora") pipe = StableDiffusionControlNetPipeline.from_pretrained( "Laxhar/sdxl_noob", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 80edaabd1c55e540feb1e2ec2e7b5d6ef270aeb35efad00ae4a1fe896bb3cc41
- Size of remote file:
- 774 MB
- SHA256:
- 764051940ae5181ce71d41b4c9bdec97d27f4199773bb5478791231d50718d80
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