Text-to-Image
Diffusers
TensorBoard
Safetensors
English
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Gitanjali1801/sdxllora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gitanjali1801/sdxllora with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Gitanjali1801/sdxllora") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 82f6ae12ca92a8b6aa0ca675d2cb34435bf9fcdfaf5654a993c458ce979a02b9
- Size of remote file:
- 1.65 MB
- SHA256:
- b08d399b1fe8cff226413faf6d5f87e04ddfa09e0fa0dde87c6105ad956da61f
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