Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use binglunw/diffuser_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use binglunw/diffuser_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("binglunw/diffuser_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 764b09c4f94c8cb9123321be47645c7da3d3139e89b96020d7781fe4130f2d44
- Size of remote file:
- 2.89 GB
- SHA256:
- acddd5f717e37e61a3b14b10cae7af38f19b09467d81726663f3fb65fe1fc6cd
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