Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Wouter01/diffusion_re10k_hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wouter01/diffusion_re10k_hard with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Wouter01/diffusion_re10k_hard") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-196000/optimizer.bin from Wouter01/diffusion_re10k_hard: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/Wouter01/diffusion_re10k_hard/resolve/main/checkpoint-196000/optimizer.bin
- Command line
-
hf download hf://Wouter01/diffusion_re10k_hard/checkpoint-196000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Wouter01/diffusion_re10k_hard/resolve/main/checkpoint-196000/optimizer.bin
2.91 GB
- Xet hash:
- e03b2d9cc423b158bb951cca294cf772aeb47f625ed21897f92f1dfc76ce7f40
- Size of remote file:
- 2.91 GB
- SHA256:
- 373f918272fec2aecb17d3e29370ec996a3537314bfd79b222ac1f291b5bae64
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