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-8500/optimizer.bin from taoshotaro/controlnet_test_base: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-8500/optimizer.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-8500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-8500/optimizer.bin
10 GB
- Xet hash:
- 807d2615cc82dc5c5847ce73877435855d4a421881d7bbd449118edcb32513ae
- Size of remote file:
- 10 GB
- SHA256:
- 48a65084af265cf86a75cdf5a98e5788db3aae7612c816e990fc126816f6104a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.