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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://pribadihcr/pcb_controlnet_sd21/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/pribadihcr/pcb_controlnet_sd21/resolve/main/checkpoint-3000/optimizer.bin
2.91 GB
- Xet hash:
- 15a0a7688eefb55a8f72ed4b92b95096aed0a847aa7d33b4336fc98f431eaeec
- Size of remote file:
- 2.91 GB
- SHA256:
- 68d27a556336476e89deb925440b987d99c7c328c9f3e5aefa0b15dd34d5d475
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