Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
pbr
material-generation
diffusers-training
Instructions to use HenghuiB/test_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HenghuiB/test_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("HenghuiB/test_output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f3c7b5295f6b39760b8c5e7e8ccfc44d52abbdc83dd102e9b6be7093ef56bbdf
- Size of remote file:
- 164 kB
- SHA256:
- 27d9f52d56146eecb372514d0cf42fb42d6c2017268ae795c842b3ec368f5a60
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