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-5000/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-5000/optimizer.bin
- Command line
-
hf download hf://redbellpepper/model_out_2/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/redbellpepper/model_out_2/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- 061c01c84a373e2a8d25cf7fa9f989291ce22723831d2681aae0b2a9e068282a
- Size of remote file:
- 2.91 GB
- SHA256:
- d998be601ded8a1b4bee6f231cfcf67192c470c58d84871a8a504adeb80867a5
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