Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Dutch1/new_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dutch1/new_model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Dutch1/new_model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3500/optimizer.bin from Dutch1/new_model: direct link, hf CLI and curl.
- Browser
- Download file 735 MB
-
https://huggingface.co/Dutch1/new_model/resolve/main/checkpoint-3500/optimizer.bin
- Command line
-
hf download hf://Dutch1/new_model/checkpoint-3500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Dutch1/new_model/resolve/main/checkpoint-3500/optimizer.bin
735 MB
- Xet hash:
- 6b8434aa4fab65bf2914222a72e4fa7ed166b65aa8259bbd210f52549e2b34a2
- Size of remote file:
- 735 MB
- SHA256:
- b9427e7aa7ceb06ff278678ec1c44f350f2a91c5104cc811f85c4bd21d4f6dfa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.