Instructions to use abovzv/sdxl_segmentation_controlnet_ade20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abovzv/sdxl_segmentation_controlnet_ade20k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abovzv/sdxl_segmentation_controlnet_ade20k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Inquiry Regarding Training Data for this ControlNet Model
Hello,
First off, thank you for sharing this impressive ControlNet model!
I'm very interested in learning more about its training process. Could you please provide some details about the dataset used? For example, was it based on a specific public dataset, a custom collection, or something else?
Understanding the training data helps in better understanding the model's capabilities and potential limitations.
Thanks in advance for any information you can share!
Hello,
First off, thank you for sharing this impressive ControlNet model!
I'm very interested in learning more about its training process. Could you please provide some details about the dataset used? For example, was it based on a specific public dataset, a custom collection, or something else?
Understanding the training data helps in better understanding the model's capabilities and potential limitations.
Thanks in advance for any information you can share!
Hello, the dataset I used is public on huggingface, which is Levi980623/ControlNet_ade20k. You can find it according to the link