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:
- be56e813e392483e71394af1c73b334223659510da2d7c8c79aacafd483ad43f
- Size of remote file:
- 6.98 kB
- SHA256:
- 8672f8a2d64b523bd936a6defbf9b9b3904adbce4c466ce266be3403d35b4d58
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