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-300/optimizer.bin from janetsw/pru: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/pru/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://janetsw/pru/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/pru/resolve/main/checkpoint-300/optimizer.bin
405 MB
- Xet hash:
- 329dcfbc366ebc8b61623140bc783f25f71e52b12452e8bcfd12cf13d18d93fd
- Size of remote file:
- 405 MB
- SHA256:
- 0d8592cd8d38c20a8780b02cee111d580a6434b3d5d3cb8f74443aebf82aba34
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.