Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use redbellpepper/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redbellpepper/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("redbellpepper/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-10000/optimizer.bin from redbellpepper/model_out: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/redbellpepper/model_out/resolve/main/checkpoint-10000/optimizer.bin
- Command line
-
hf download hf://redbellpepper/model_out/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/redbellpepper/model_out/resolve/main/checkpoint-10000/optimizer.bin
2.91 GB
- Xet hash:
- 5b92712d0f553f25db87e5930ec468ba431577f7632aad9e93a22af11475b9fc
- Size of remote file:
- 2.91 GB
- SHA256:
- c9bfdac135affcd1772354f42fb6b4fa5224bdf8801b4b16fe99a9abcd6e072b
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