Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use janetsw/All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janetsw/All 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("janetsw/All") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 12470ebbc4e9e024d9ace5b4e651e1d4ffe58395380bcc68377a7f810cae5906
- Size of remote file:
- 405 MB
- SHA256:
- 59549fae81a420639abec3e1299766c9ee016e8303665a02d39c2d71314e96c9
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