Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use redbellpepper/model_out_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redbellpepper/model_out_2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("redbellpepper/model_out_2") 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_2: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/redbellpepper/model_out_2/resolve/main/checkpoint-10000/optimizer.bin
- Command line
-
hf download hf://redbellpepper/model_out_2/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/redbellpepper/model_out_2/resolve/main/checkpoint-10000/optimizer.bin
2.91 GB
- Xet hash:
- 3a959dc9d6cbb17feaa87a840f0d34e6ecbc934763b02c46b40f3e3b5d75a77a
- Size of remote file:
- 2.91 GB
- SHA256:
- 7f1ba4e87d9e676ae7e792a385ea66c33cd1a80f482a8286e5c600a7512aa6bf
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