Instructions to use thedeoxen/MOSS-Image-normal-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thedeoxen/MOSS-Image-normal-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thedeoxen/MOSS-Image-normal-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "OpenMOSS-Team/MOSS-Image-SFT", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Commit History
Today
-
Add example strips
Verified signature0d718f4 -
Add example strips
Verified signature6bfc897 -
Use the standard MOSS-Image CLIP, VAE and scheduler names
Verified signature4598716 -
Use the standard MOSS-Image CLIP, VAE and scheduler names
Verified signatureef62435 -
Add control LoRA weights, ComfyUI workflow and model card
Verified signatureWeights and workflow. Example images will be added in a follow-up commit.0468121 -
Prepare private model card draft
Verified signature5b60a6e -
initial commit
Verified signature69feb85