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-500/optimizer.bin from Jason248/newControlnet: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Jason248/newControlnet/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-500/optimizer.bin
2.89 GB
- Xet hash:
- 152b39280daa6ef87ccce505b4205c0d81ec5664193b850cd3ae17b9a9886a96
- Size of remote file:
- 2.89 GB
- SHA256:
- 053a66987249bf355e07d7bcba2ee604a37b80a9c24b42aa24f48f3acd36f7d0
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