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-15000/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-15000/optimizer.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-15000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-15000/optimizer.bin
10 GB
- Xet hash:
- 35ada0781c8031055a11d401ad64d90384b00db18f2cce2a7db09f550a76bc29
- Size of remote file:
- 10 GB
- SHA256:
- 65556fe3fcf6808841482c7a912d46d21a8d2ce5c1612efa3b5c05df62b3001c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.