Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use leonbp/controlnet-room_roland_null with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonbp/controlnet-room_roland_null with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("leonbp/controlnet-room_roland_null") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from leonbp/controlnet-room_roland_null: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/leonbp/controlnet-room_roland_null/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://leonbp/controlnet-room_roland_null/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/leonbp/controlnet-room_roland_null/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 9570d90536492f474a228781ef3c050009d41e871bbdc64e4a1a846343c20eb9
- Size of remote file:
- 2.89 GB
- SHA256:
- 3c036d1155896f14d0547e3d50715c79a52d2f008071c4d9150aeb3944948cc9
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