Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use apkz2000/TextualInversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use apkz2000/TextualInversion 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("apkz2000/TextualInversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab4e6e790973d126c06811002a22769b0d41a6dbe35405278c1dba54b391e7b5
- Size of remote file:
- 304 MB
- SHA256:
- e2ad7a7ed02f5fcaf0d3995a48b30a217d227b830f0ae3a81c9686782f70544f
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