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-9500/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-9500/optimizer.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-9500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-9500/optimizer.bin
10 GB
- Xet hash:
- f728fc50994f8fef13c5bc1922b24954c819c5afd621063d2d5a9db5bb73e919
- Size of remote file:
- 10 GB
- SHA256:
- a62690cfe085c3e86557b320b35a24bbd81772b7ed7e7571ab152f5de2854e44
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