Instructions to use Taimoor-R/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Taimoor-R/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Taimoor-R/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-150/optimizer.bin from Taimoor-R/model_out: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/Taimoor-R/model_out/resolve/main/checkpoint-150/optimizer.bin
- Command line
-
hf download hf://Taimoor-R/model_out/checkpoint-150/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Taimoor-R/model_out/resolve/main/checkpoint-150/optimizer.bin
135 MB
- Xet hash:
- 72a35aa7b05ca734cb6e3fcc3154c244e04df291f2841e95f3c55f6b4f43dbdc
- Size of remote file:
- 135 MB
- SHA256:
- 65f841962a06ca0e001009e7e6b20f62c4b5b24ca847158d45c5212d639a66f8
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