Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hangeol/textual_inversion_cat_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hangeol/textual_inversion_cat_test 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("hangeol/textual_inversion_cat_test") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from hangeol/textual_inversion_cat_test: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/hangeol/textual_inversion_cat_test/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://hangeol/textual_inversion_cat_test/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hangeol/textual_inversion_cat_test/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 5c00f3944380ce909c3e10b648e0a1bd3733132dbd61840a95281dc5cca255f4
- Size of remote file:
- 492 MB
- SHA256:
- 1e9a0380f3ca63b5b5609216ecd8b8962c8b27f234af93d957d556f0989c7b16
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