Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/pru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/pru 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/pru") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from janetsw/pru: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/pru/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://janetsw/pru/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/pru/resolve/main/checkpoint-500/optimizer.bin
405 MB
- Xet hash:
- 184b3b91dca9a4b75075c97f4b80880898399fad1bf74c4615f9eb700665ad2b
- Size of remote file:
- 405 MB
- SHA256:
- 2c5bc15bf94985fb3fd5b39be45abd6ce0a051c534d5cac30fed025f2e6fec9b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.