Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Jason248/newControlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jason248/newControlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jason248/newControlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/scheduler.bin from Jason248/newControlnet: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-2000/scheduler.bin
- Command line
-
hf download hf://Jason248/newControlnet/checkpoint-2000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-2000/scheduler.bin
1 kB
- Xet hash:
- 34d4e24b414df2c7737b30ad06d1be32cb3c3ed0e8199bd304f9f46fbc1438a8
- Size of remote file:
- 1 kB
- SHA256:
- 1368dd53aa44d6697b4e4a2d3f93126fead79959bfd17132b080f84cde512c08
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.