Instructions to use ThiennNguyen/ControlNet_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThiennNguyen/ControlNet_Finetuning with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ThiennNguyen/ControlNet_Finetuning") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - controlnet | |
| inference: true | |
| # controlnet-ThiennNguyen/ControlNet_Finetuning | |
| These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. | |
| You can find some example images below. | |
| prompt: there are some very tall rocks in the desert with trees | |
|  | |
| prompt: araffe on a cruise ship with a pool and people on deck | |
|  | |