Text-to-Image
Diffusers
auraflow
auraflow-diffusers
image-to-image
simpletuner
Not-For-All-Audiences
lora
controlnet
template:sd-lora
standard
Instructions to use ControlNetLoRA/auraflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ControlNetLoRA/auraflow with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ControlNetLoRA/auraflow") pipe = StableDiffusionControlNetPipeline.from_pretrained( "terminusresearch/auraflow-v0.3", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 6547a6722dd3a8bbb7c40ee286d5a88a0d3da73cd17ef7e7c1a3493eaad5a46e
- Size of remote file:
- 186 kB
- SHA256:
- d2337ad22d65131b8ffc81b5c7d29b2a81514ab25f616a651a4abbd7071a4801
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