Instructions to use acozma/controlnet-fill50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use acozma/controlnet-fill50k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("acozma/controlnet-fill50k") 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 acozma/controlnet-fill50k: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/acozma/controlnet-fill50k/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://acozma/controlnet-fill50k/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/acozma/controlnet-fill50k/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 471df8d4cb9fd570e716a1701b120e03cc28733a7e481ca20e5455f549963666
- Size of remote file:
- 2.89 GB
- SHA256:
- 670d1d5bd63476f20471c25c67b4d071364397b6194eb6344107dc02170457f2
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