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:
- 5b68e6a90567223e42990fa9a0f80667cd4441cb42e58c58979ebba13e6b8879
- Size of remote file:
- 1.45 GB
- SHA256:
- 53ee2185c40d9cc99b9b8b0bb3514f53adf18a1a6c5e277ae2eb987acad65876
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