Instructions to use razgaon/model-res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use razgaon/model-res with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("razgaon/model-res") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3ee7d4c0efc666ad32237613be4a199bad7e5e154fc2d78c2fc7aa352b6c0ac1
- Size of remote file:
- 1.46 GB
- SHA256:
- 7badbb3b93231c4795fbe35ecb258a469de2b9a1eddf38c5fd9b4d295f81ad14
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.