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:
- c898793b49aacb81601e918c81cf682cad5a7d20dc73c4ae5778361894eae74b
- Size of remote file:
- 1.45 GB
- SHA256:
- 5436bb87fa1778a4167794c81ce39a3383850201933f2f7b4063ae2a38c89c17
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