Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use moritzef/model_lr1e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moritzef/model_lr1e4 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("moritzef/model_lr1e4") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100000/optimizer.bin from moritzef/model_lr1e4: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/moritzef/model_lr1e4/resolve/main/checkpoint-100000/optimizer.bin
- Command line
-
hf download hf://moritzef/model_lr1e4/checkpoint-100000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/moritzef/model_lr1e4/resolve/main/checkpoint-100000/optimizer.bin
2.91 GB
- Xet hash:
- 19d8200304ac106bf6599ee08be4718d2decbd7545e0111d34c096cae34ecc81
- Size of remote file:
- 2.91 GB
- SHA256:
- cf1bbd2e414e51ed45ff29716247c6abbe1a7c475e6066da285c4d46ef06d56a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.