Instructions to use Bedovyy/OppaiOracle-V1.1-timm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Bedovyy/OppaiOracle-V1.1-timm with timm:
import timm model = timm.create_model("hf_hub:Bedovyy/OppaiOracle-V1.1-timm", pretrained=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
library_name: timm
pipeline_tag: image-classification
base_model:
- Grio43/OppaiOracle
tags:
- multi-label
- anime
- danbooru
timm version of Grio43/OppaiOracle
timm-compatible repack of the original model. selected_tags.csv has been adapted to match the WD Tagger format.
- Changed color space from RGB to BGR.
You can use it with ComfyUI-WD-Timm-Tagger.