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-11500/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-11500/optimizer.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-11500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-11500/optimizer.bin
10 GB
- Xet hash:
- e1ddb09934d5834053f4eef874643c533ab84d1857efda4bf76c5ca6bd1758b4
- Size of remote file:
- 10 GB
- SHA256:
- 9c939839c5fafb93e52f0d4521d412ab5bfa55babb6f4767c32b0ee7f256a3e4
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