Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use keehun/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keehun/textual_inversion_cat 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_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from keehun/textual_inversion_cat: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/keehun/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://keehun/textual_inversion_cat/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/keehun/textual_inversion_cat/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 3237318c39395bd2bcb4c0019bcf32583373bad2b2f9bfdc33ba3efa056e5a40
- Size of remote file:
- 492 MB
- SHA256:
- c3439f432e7164f4490c9a119f7383048522470e0819e52ae0ea27119fbb7d8d
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