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-217000/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-217000/optimizer.bin
- Command line
-
hf download hf://Wouter01/diffusion_re10k_hard/checkpoint-217000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Wouter01/diffusion_re10k_hard/resolve/main/checkpoint-217000/optimizer.bin
2.91 GB
- Xet hash:
- 2545a8b01d63971ba266bacf2d0f99de0337fac76d3a0a925320f60d3aa2abbe
- Size of remote file:
- 2.91 GB
- SHA256:
- aab07496026fe534f42a3ab11c1d58acf84b5bb065d137e4bb8de2f16dd49a6a
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