Instructions to use madtune/pixeldit-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madtune/pixeldit-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("madtune/pixeldit-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "madtune/pixeldit-diffusers", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "pixeldit_controlnet", | |
| "copy_blocks_num": 7, | |
| "hidden_size": 1536, | |
| "siglip_dim": 1152, | |
| "siglip_model_id": "google/siglip-so400m-patch14-384", | |
| "base_model_id": "madtune/pixeldit-diffusers", | |
| "controlnet_checkpoint": "controlnet.safetensors", | |
| "ip_adapter_checkpoint": "ip_adapter.safetensors", | |
| "hed_checkpoint": "hed_detector.safetensors", | |
| "training_steps": 10000, | |
| "trained_on": "scribble + ip_adapter joint training at 768px" | |
| } | |