Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use janetsw/pil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/pil 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/pil") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from janetsw/pil: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/janetsw/pil/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://janetsw/pil/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/janetsw/pil/resolve/main/checkpoint-500/optimizer.bin
405 MB
- Xet hash:
- dc7c2f091469bb2915b81ccf2886ecb79e9333e66583d1b41d037ef24bd39ae6
- Size of remote file:
- 405 MB
- SHA256:
- 07a0c360d98a30ccbc9f92e10a1982bba378abee54b8c4174e9e7520cf944974
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