Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_cat2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_cat2 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("Jade1211/textual_inversion_cat2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Jade1211/textual_inversion_cat2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Jade1211/textual_inversion_cat2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Jade1211/textual_inversion_cat2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jade1211/textual_inversion_cat2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 93c98fbb824cde6c8bf27cf3bd7256e0eb53a13b6e2c417a8bd3c7425a0f08ed
- Size of remote file:
- 492 MB
- SHA256:
- 13d90865f6a4c31d094ca0204269d26f07fbeb52faaf94774de451e1de4fab07
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