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:
- 94154c502eee0d252d419ca3dee6a3d1cd911e8f5aabbcb44d300133e4185405
- Size of remote file:
- 2.31 MB
- SHA256:
- ddd18e8f01a9ce63a0acfc2699c82fcc40fc5de0a9f564fb7da28e48ca22c01a
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