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:
- 47c6e3795ff5aa368662dd9d4a906350a7ba627965999924515a622bcdf67a7f
- Size of remote file:
- 492 MB
- SHA256:
- e5a56fa8b1dd5b19cb2eb678a973459ec231238908ebc1435eaeaeea6a411807
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