Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/nem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/nem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("janetsw/nem") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from janetsw/nem: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/nem/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://janetsw/nem/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/nem/resolve/main/checkpoint-400/optimizer.bin
405 MB
- Xet hash:
- 67943507c7f34befb7c19745da0858aa356fcb448377dcfdaacf10841769644a
- Size of remote file:
- 405 MB
- SHA256:
- ce18882817780529d1dbcbf268dac78f5d4e614d490fa1f16c0ae484ac4cd6c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.