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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://pribadihcr/generated_controlnet/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/pribadihcr/generated_controlnet/resolve/main/checkpoint-3000/optimizer.bin
2.89 GB
- Xet hash:
- 0f5cecf45010cb16f26f40a154a05b8be39c8090c1b1ba68392213138f7bf595
- Size of remote file:
- 2.89 GB
- SHA256:
- 2aa4c2a8fb66c04fd3dfbb25c608769b65233418bc29ae6c1eaf9bea414aaf23
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