Instructions to use KarMa001/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KarMa001/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("KarMa001/model_out") 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 KarMa001/model_out: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/KarMa001/model_out/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://KarMa001/model_out/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/KarMa001/model_out/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 09bfefc42b346413048cc0e70318639a4fca4d93cdba2ab75af1fa7bee4c42a6
- Size of remote file:
- 2.89 GB
- SHA256:
- 764c4148c8da4fa33f7e81496a2876ccd4ffc25825db8eec1520e2bff970e0c7
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