Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use keehun/textual_inversion_2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keehun/textual_inversion_2vec 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("keehun/textual_inversion_2vec") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dba14409106edda31b1aafc49848d4ca6131f473ea5d759ee808ab5a040bf623
- Size of remote file:
- 335 MB
- SHA256:
- 11a6fc35e77a2d5696ae6a494f797f01b7ab97b08b5f8f2f17e19d0ef169b1ca
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