Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use pribadihcr/pcb_controlnet_sd21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pribadihcr/pcb_controlnet_sd21 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("pribadihcr/pcb_controlnet_sd21") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from pribadihcr/pcb_controlnet_sd21: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/pribadihcr/pcb_controlnet_sd21/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://pribadihcr/pcb_controlnet_sd21/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/pribadihcr/pcb_controlnet_sd21/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- b5a97615d76046e1c6f3cf48eed29ad467c933988b14021c59693a5125dee9fd
- Size of remote file:
- 2.91 GB
- SHA256:
- ee0d9ceea9b913bcc7873e9da21f758047784ad2e2b1eb462adfd17ed5f19cf2
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