Instructions to use latentcat/control_v1u_sd15_illumination_webui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use latentcat/control_v1u_sd15_illumination_webui with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("latentcat/control_v1u_sd15_illumination_webui", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 5ce4c7de47b82c7d5bb451bacb3c0c5e72b0c3f269da019ab5ddc3aac07fc7a0
- Size of remote file:
- 3.42 MB
- SHA256:
- 33bf499feb9cebf78194e3fe8df57f6fb222e1ff84c628f1b9f9298c323adf08
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