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
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-1500
- checkpoint-200
- checkpoint-2000
- checkpoint-2500
- checkpoint-300
- checkpoint-3000
- checkpoint-3500
- checkpoint-400
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- feature_extractor
- logs
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.52 kB
- 412 Bytes
- 4.21 kB xet
- 4.21 kB xet
- 4.21 kB xet
- 4.2 kB xet
- 4.2 kB xet
- 4.2 kB xet
- 4.2 kB xet
- 4.2 kB xet
- 4.21 kB xet
- 4.2 kB xet
- 4.21 kB xet
- 648 Bytes