Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use pribadihcr/generated_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pribadihcr/generated_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("pribadihcr/generated_controlnet") 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-5000/optimizer.bin from pribadihcr/generated_controlnet: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/pribadihcr/generated_controlnet/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://pribadihcr/generated_controlnet/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/pribadihcr/generated_controlnet/resolve/main/checkpoint-5000/optimizer.bin
2.89 GB
- Xet hash:
- 18463f1870181ec2bb46f879b90f9ec29e2fb32b7dba7104db1ba44ccd37f5b3
- Size of remote file:
- 2.89 GB
- SHA256:
- c90b4d8d2ac68920123a05cb06796baf72809170685c11e026d775996404604c
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