Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("Jade1211/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 2f3526f338467f5044c072270a9ce0d7afb696b858341ce66d9d924f36173ef7
- Size of remote file:
- 4 kB
- SHA256:
- 74b7a9e97159d92d46cade523e7b13b60e0aa04e0013617fe979edbb3b8869a5
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