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-18000/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-18000/optimizer.bin
- Command line
-
hf download hf://Wouter01/diffusion_re10k_hard/checkpoint-18000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Wouter01/diffusion_re10k_hard/resolve/main/checkpoint-18000/optimizer.bin
2.91 GB
- Xet hash:
- fad4ec6492031d224859bb514ea094555a05df5656f1f300d322c7caedc09190
- Size of remote file:
- 2.91 GB
- SHA256:
- d455dc47ede9bab08abba567dbde1350beebd86d7cb2137e3ad0054f700675da
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