Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/bas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/bas 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/bas") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from janetsw/bas: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/janetsw/bas/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://janetsw/bas/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/janetsw/bas/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- 2918df6c565e5f834baea51ba7e271ab388fe23123d42e5f317a95fec14a228c
- Size of remote file:
- 167 MB
- SHA256:
- 3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
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