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:
- 9431d923d8bf882055c62a8e372d920e5e5804737f289e5ab355a9a6340ab7fb
- Size of remote file:
- 5 GB
- SHA256:
- 25838493b299b6259c811b29ceaf11eb59e1be5794baad7e8c5b0de42a6b2771
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