Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use taoshotaro/controlnet_test_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taoshotaro/controlnet_test_base with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("taoshotaro/controlnet_test_base") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-13500/scheduler.bin from taoshotaro/controlnet_test_base: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-13500/scheduler.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-13500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-13500/scheduler.bin
1 kB
- Xet hash:
- 214c3852867aef09012197eb8fcc7d7e60ea0f73950f5d29317a2cfc0512d6ed
- Size of remote file:
- 1 kB
- SHA256:
- d57c8aec1a1dc1881bb241a39174eb36b3f59e12c80d3121111ed2674ae050b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.