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-1000/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-1000/optimizer.bin
- Command line
-
hf download hf://Jason248/newControlnet/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jason248/newControlnet/resolve/main/checkpoint-1000/optimizer.bin
2.89 GB
- Xet hash:
- 09a3392d7487b1d6087544b6a16553d76abedebdbe1dd27d2dc69a19aef8112f
- Size of remote file:
- 2.89 GB
- SHA256:
- 422f1844a62898990e923d1aad48466af14b52fce7b91da13a17773cc00b4014
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