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:
- ab13a56c2c0e675d264695607579b4ee37787330f3194858b3754f52a8a3a4e5
- Size of remote file:
- 774 MB
- SHA256:
- 8bfcd70d2abf596411320490239cb3f48efe65b6b5bc4cbaae0c3bf0a97b3bc2
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