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", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("janetsw/All") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1eb613b110c1c8f1a3b4364a361f9225b176023b2a3b2feaf2f3a8132442fc48
- Size of remote file:
- 405 MB
- SHA256:
- aa4d93cc84f876211b5d5e2fc1fcb017ef1f0ef0e1b4f3d433b32fb7f27ac34a
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