Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/neu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/neu 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/neu") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from janetsw/neu: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/neu/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://janetsw/neu/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/neu/resolve/main/checkpoint-100/optimizer.bin
405 MB
- Xet hash:
- 2d9d7c7220dc29d1969e161367272fd8346205638f926d2bace25253eaf5cc05
- Size of remote file:
- 405 MB
- SHA256:
- bbf1d6e6307bbc80f27c4a42a0d44f66c870d0be3be0f4b3f771a042d50e7517
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.