Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use liuch37/controlnet-sd-2-1-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liuch37/controlnet-sd-2-1-base-v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("liuch37/controlnet-sd-2-1-base-v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Training details
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## Training details
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Train the ControlNet with semantic maps as the condition. Cityscapes training set is used for training (https://huggingface.co/datasets/liuch37/controlnet-cityscapes). Only 2 epochs are trained for the current version.
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