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-3000/scaler.pt from Jason248/newControlnet: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-3000/scaler.pt
- Command line
-
hf download hf://Jason248/newControlnet/checkpoint-3000/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-3000/scaler.pt
988 Bytes
- Xet hash:
- 6a94389ecebed85d6ad8e8fc402529663c1528e6a3eeaafd74299b3167566a0d
- Size of remote file:
- 988 Bytes
- SHA256:
- 5a69396ad64f717c1fe9ac5ae1dc4b1de2873fe7d50a35b2ee41044e4ffdfc3d
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