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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("apkz2000/TextualInversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 90235aaf0490e5c9c07af60d4b1d3ba915cff40fed5e8f4494e099dbbdfe7389
- Size of remote file:
- 304 MB
- SHA256:
- 8667583eb2f7990d963f3275a588da4f1634433320d4b118249f1e7c17a04629
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